Platform Engineer

• Define and execute the enterprise data and analytics platform strategy
• Establish standards, guardrails, and reusable capabilities for data use
• Own the strategy and lifecycle of foundational analytical data products
• Lead a unified organization spanning data engineering and analytics platforms
• Own platform-level enablement of data governance, quality, and lineage
• Lead budget, vendor strategy, and platform investment decisions
• Develop bench strength, succession pipelines, and differentiated talent
• Partner with CIOs, business leaders, and enterprise stakeholders

Vice President – Data & Platform Engineering

• Take ownership of our internal AI platform, built on the Vercel AI SDK and AWS Bedrock
• Move it into full production, build the roadmap, expand model and agent capabilities
• Integrate with internal data sources
• Evolve our Model Context Protocol server that exposes OUTFRONT's inventory, holds, and campaign tools to AI buyer agents
• Design and build the shared platform that internal automation teams use to ship agents safely
• Evaluate, integrate, and operationalize new capabilities of AWS AI stack

Lead AI Platform Engineer

• Collaborate with data platform architects to design and specify platform tooling, services, and integrations
• Build data lake and lake house architectures
• Build streaming data architectures to support data platform tooling and services
• Collaborate with software teams to integrate streaming and batch architectures with software products
• Collaborate with data scientists, analysts, and business stakeholders to MVP optimal solutions
• Collaborate with data governance teams and data platform architects to build governance into technical solutions
• Maintain systems and services that provide transparency and observability into our critical systems
• Implement and promote engineering and architectural patterns, perform code reviews, and collaborate in architectural reviews
• Collaborate with product team data engineers and architects to MVP data products, maintain data models, and promote data modeling best practice
• Provide technical leadership and mentorship to product and data engineers, guiding their growth and professional development and enabling their ability to use platform tooling and services
• Lead by example through hands-on contributions to designing, coding, and troubleshooting complex data systems
• Identify and address performance bottlenecks and optimization opportunities within data pipelines, databases, and processing frameworks
• Optimize data processing workflows to improve efficiency and reduce latency
• Lead efforts to diagnose and resolve data-related incidents in a timely manner
• Will participate in the grooming of stories
• Will be responsible for their own tasking towards the completion of stories
• Will mentor junior members of the team and guide junior members on best practice
• Will participate in design
• Will be responsible for the quality of their own code and will participate in code review of others product
• Will be responsible for integrating their own code with the team's DevOps plan and implementation

Data Platform Engineer

• Lead design and development of enterprise integration ecosystems including API, Model Context Protocol (MCP), Agent-to-Agent (A2A), and AI Agent-driven patterns
• Enable external and internal partner connectivity through scalable, secure B2B and B2B2C integration patterns that power TIAA's partnership ecosystem
• Drive context engineering — designing how AI agents consume and act on integration capabilities — by converting APIs into agent-ready tools
• Deliver self-service integration capabilities for both human and AI consumers
• Modernize complex legacy enterprise platforms using AI-first architectural approaches

Senior Integration Platform Engineer, AI & Agentic

• Own the technical architecture of the data platform end-to-end: ingestion, storage, transformation, orchestration, serving, and observability layers.
• Author and maintain the platform architectural vision document; lead quarterly architecture reviews to assess alignment with organizational goals and technology trends.
• Define and evolve the target-state architecture for the platform, establishing a multi-year technology roadmap in partnership with engineering leadership.
• Evaluate emerging technologies, frameworks, and make evidence-based adoption recommendations.
• Serve as the final technical escalation point for complex design questions, cross-team conflicts, and build-vs-buy decisions affecting the platform.
• Lead the planning, execution, and delivery of multi-quarter platform initiatives involving multiple engineers, cross-functional dependencies, and significant organizational impact.
• Break down large, ambiguous programs into scoped workstreams; assign technical leads per workstream, define milestones, and manage cross-team dependencies and risk.
• Drive initiative kick-offs with clear problem framing, success criteria, architectural constraints, and delivery phasing — from 0-to-1 exploration through production hardening.
• Maintain stakeholder alignment throughout delivery: proactively communicate status, surface trade-offs, and escalate blockers to leadership before they become risks.
• Lead post-mortems and retrospectives for large initiatives; document and socialize lessons learned to raise the organizational bar on delivery excellence.
• Exercise functional oversight across the EDAP team: review technical designs, set quality gates, approve architectural decisions, and ensure consistency of implementation patterns.
• Define, document, and socialize platform engineering standards including coding conventions, testing requirements, CI/CD practices, schema design guidelines, and SLA frameworks.
• Establish and own the platform's technical review process (design review): triage incoming projects, chair review sessions, and ensure decisions are documented and traceable.
• Identify and drive resolution of technical debt, redundancy, and architectural drift that impede platform reliability, developer productivity, or scalability.
• Partner with security, compliance, and infrastructure teams to ensure platform systems meet governance, data privacy, and regulatory requirements by design.
• Serve as a primary technical mentor for junior and senior data platform engineers across the platform; provide structured coaching on system design, technical communication, and engineering judgment.
• Conduct and lead design reviews, architecture critiques, and technical deep-dives that strengthen the overall capability of the engineering team.
• Define what technical excellence looks like at each level of engineers and participate in calibration discussions.
• Represent the data platform in engineering-wide forums, all-hands, and external venues (conferences, open-source communities, recruiting events).
• Build a culture of documentation, reliability, and platform-as-a-product thinking across all data platform engineering functions.
• Participate in goal planning cycles as a technical voice; define engineering-led goals that improve platform reliability, developer experience, and data quality.

Lead Data Platform Engineer

• Directly manage 4-5 data platform engineers across levels (Engineer I through Senior Engineer III); serve as their primary advocate, coach, and career guide.
• Conduct regular 1:1s with each direct report focused on growth, blockers, wellbeing, and career trajectory.
• Own the career development plans for each team member; set clear expectations at every level, identify growth opportunities, and provide timely, actionable feedback.
• Drive performance management end-to-end: set goals, provide continuous feedback.
• Identify high-potential engineers and create stretch opportunities that accelerate their development toward the next level.
• Foster a team culture of psychological safety, inclusion, continuous learning, and high accountability — where engineers feel empowered to take initiative and safe to raise concerns.
• Address performance gaps early and constructively
• Own the full recruitment lifecycle for your team: define headcount needs, write and refine job descriptions, run structured interview processes, and make hiring decisions.
• Partner with recruiting to build and maintain a healthy pipeline of engineering talent at all levels; actively source candidates and represent the company at recruiting events.
• Onboard new hires effectively: ensure they have a structured ramp plan, a buddy/mentor, and clear 30/60/90-day expectations from day one.
• Own the health of the team's delivery system: sprint cadence, backlog grooming, capacity planning, dependency management, and release coordination.
• Ensure the team consistently delivers against commitments; proactively identify risks, surface blockers early, and create conditions for engineers to do their best work.
• Establish and maintain clear team-level SLAs, on-call rotations, and incident response processes; hold the team accountable to reliability standards.
• Drive quarterly planning in coordination with the Lead Engineer and Director: translate organizational priorities into team-level goals, milestones, and resourcing decisions.
• Manage cross-team dependencies with partner engineering organizations (ML, Analytics); ensure alignment and resolve conflicts at the manager level.
• Own team-level reporting and status communication to leadership: weekly/bi-weekly updates, risk flags, and delivery summaries that give stakeholders accurate, timely visibility.
• Maintain sufficient technical depth to participate in architectural discussions, evaluate engineering trade-offs, assess estimates, and identify when the team is over- or under-resourced for a given problem.
• Partner closely with the Lead Data Platform Engineer to ensure technical direction is translated into executable work; bridge the gap between architectural vision and sprint-level delivery.
• Represent technical considerations in cross-functional conversations — with infrastructure, Data Science, Analytics, and Directors — and advocate for necessary infrastructure investment.
• Contribute to technical decisions where your perspective as a manager is valuable: team ergonomics, tooling adoption, process improvements, and build-vs-buy trade-offs with organizational implications.
• Stay current with data platform trends and adjacent technologies to have informed conversations with your team and with engineering leadership about the evolving landscape.
• Serve as the primary point of contact for partner Information Systems & Services(ISS) managers, and business stakeholders on matters of team delivery, capacity, and roadmap alignment.
• Represent the Data Platform Engineering team in cross-functional planning forums, leadership reviews, and all-hands; communicate team accomplishments, challenges, and needs clearly.
• Proactively build relationships with peer managers across the organization to improve cross-team collaboration, reduce friction, and identify shared investment opportunities.
• Partner with the Executive Director on budget planning, headcount justification, and tooling procurement decisions that affect the team.
• Contribute to shaping the engineering culture and management practices across the broader engineering organization — share what works, contribute to manager forums, and help raise the bar on people leadership

Manager, Data Platform Engineering

• Lead or participate in high-level technical concepts spanning market data technology platforms and business consumption models
• Design, build, and enhance complex market data infrastructure, including LSEG TREP and related distribution systems
• Develop specifications, architectures, and solutions for low-latency, high-availability market data delivery platforms
• Contribute to the testing and validation of market data flows, including feed handlers, distribution layers, and downstream consumers
• Drive improvements in resiliency, failover, and recovery capabilities of market data systems
• Analyze and resolve issues related to real-time data delivery, including feed gaps, latency, stale data, and symbology mismatches
• Design and implement automation using UNIX/Linux scripting to monitor, manage, and maintain infrastructure health
• Collaborate with network engineering teams to ensure optimal multicast/unicast data distribution, bandwidth utilization, and low-latency performance
• Review and analyze infrastructure security considerations, including access controls, secrets management, and key rotations
• Design, code, test, debug, and document tools and utilities to support market data operations and engineering functions
• Support complex system upgrades, including TREP components, feed handlers, and supporting middleware
• Identify and resolve recurring operational issues by implementing long-term engineering solutions
• Develop and execute strategic plans to modernize and optimize market data platforms
• Direct daily risk and control processes, ensuring adherence to enterprise policies, procedures, and regulatory standards
• Collaborate and consult with peers, application teams, vendors, and leadership to resolve issues and deliver scalable, reliable solutions

Market Data Platform Engineer

• install, configure, secure, administer, and monitor SQL Server infrastructure (on-prem and Azure: IaaS, PaaS, SaaS)
• provide production support and participate in a 24x7 on-call rotation
• troubleshoot issues, document procedures, and guide Root Cause Analysis and resolutions
• develop and implement backup, recovery, and database management strategies, including upgrades and patches
• support Agile/Scrum processes, including sprint planning, backlog grooming, and retrospectives
• mentor team members, foster collaboration, and serve as technical lead on projects
• research and recommend SQL Server/Azure technologies, addressing risks and integrating automation and monitoring tools

Senior Data Platform Engineer

• Lead complex initiatives to develop infrastructure to provide solutions for business applications
• Participate in various projects intended to continually improve or upgrade the infrastructure
• Evaluate internal and external software solutions which could be leveraged to meet target state architecture goals
• Review and analyze high impact outages to ensure the proper processes and procedures are in place to avoid problems in the future
• Design, build, deploy and maintain infrastructure solutions through collaborative efforts with the team and third party vendors
• Design, code, test, debug and document programs using Agile development practices
• Make decisions in technical designs, implementation plans and identify project risks and resource requirements
• Direct the daily risk and control flow of operations, focusing on policies, procedures and work standards to ensure success
• Recommend courses of action to maintain cost effectiveness and achieve results
• Collaborate and consult with peers, colleagues and managers to resolve issues and achieve goals
• Interact with customer and vendor

Lead Infrastructure Platform Support Engineer

• Install, configure, secure, administer, and monitor SQL Server infrastructure
• Provide production support and participate in a 24x7 on-call rotation
• Troubleshoot issues and guide Root Cause Analysis
• Develop backup, recovery, and database management strategies
• Support Agile/Scrum processes
• Mentor team members and foster collaboration
• Research and recommend SQL Server/Azure technologies

Senior Platform Engineer

• Set and drive the technical vision for the team and partner with peer staff/principal engineers to shape direction across adjacent teams (data platform, reporting, internal and external frontends & apps)
• Sit at the table with product and business stakeholders (KBRA Analytics, Bank Product) to translate strategy into a multi-quarter technical roadmap, make build/buy/sunset calls, and own the architectural decisions that come out of them.
• Own the architecture of a Snowflake lakehouse ingesting 30+ regulatory and market data sources (FFIEC, FDIC, NCUA, FactSet, Xignite, SEC EDGAR, FRED, etc.) via S3 external tables, Dask-based transforms, and SQS / Mongo change-stream event pipelines.
• Design and evolve reusable Terraform modules spanning AWS, Azure, Snowflake, MongoDB Atlas, GitLab, Datadog, etc.
• Drive CI/CD, IaC, and acceptance-test (BDD/behave) standards across the team.
• Mentor engineers and act as code-owner across IaC, data-lake, and application repos.

Lead Full-Stack Platform Engineer – KFI Data Platform

• Provision and manage cloud infrastructure across compute, networking, storage, and managed databases
• Maintain consistency across development, staging, and production environments
• Plan and execute workload migrations across cloud providers with minimal disruption
• Identify and implement infrastructure cost optimization opportunities
• Build and maintain CI/CD pipelines across a multi-repository environment
• Implement deployment strategies such as blue/green, canary, and rolling deployments
• Develop automation tooling and scripts to reduce manual effort and improve delivery speed
• Write and maintain Terraform infrastructure across multi-account, multi-environment systems
• Establish IaC standards, module reuse patterns, and state management practices
• Drive infrastructure changes through version-controlled, peer-reviewed workflows
• Participate in on-call rotation and lead incident response efforts
• Maintain observability through dashboards, alerting, logging, and SLO tracking
• Conduct post-incident reviews and implement long-term remediations
• Manage secrets, certificates, and access controls using least-privilege principles
• Apply security best practices across infrastructure, containers, and CI/CD pipelines
• Support audit and compliance initiatives through documentation and access reviews
• Partner with engineering teams on infrastructure guidance and service design
• Create architecture documentation, runbooks, and operational guides
• Help build self-service platform capabilities for engineering teams

• Design and implement secure data pipelines to migrate and unify data from PostgreSQL, DynamoDB, and other source databases into Snowflake
• Build and optimize ELT/ETL workflows, data models, and schemas in Snowflake for analytics and AI use cases
• Own Snowflake performance tuning, cost optimization, clustering, and secure data sharing patterns
• Ensure high data quality, lineage, and reconciliation between source systems and Snowflake
• Build analytics datasets and semantic layers to support enterprise reporting, dashboards, and ad-hoc analysis
• Enable self-service analytics for business and operations teams using governed datasets
• Collaborate with product and business stakeholders to define KPIs, metrics, and reporting logic
• Design and deploy on-prem ML and LLM solutions for reporting automation, anomaly detection, forecasting, and operational insights
• Implement private/self-hosted LLM architectures with secure inference pipelines
• Develop ML pipelines for feature engineering, training, validation, and inference
• Expose secure APIs and services for data access, analytics, and AI inference
• Ensure sensitive FinTech data never leaves approved infrastructure or flows into public AI models

Principal Data & AI Platform Engineer

• Provides leadership, technical direction and oversight to a team delivering technology solutions
• Provides oversight of the design, implementation, and maintenance of complex computer programs
• Aligns technical solutions to business objectives
• Ensures that coding practices/quality comply with software development standards
• Conducts multiple software implementations and applies both depth and breadth in knowledge of several technical competencies
• Responsible for leading the design, delivery, and evolution of cloud‑based, AI‑enabled data integration and analytics platforms
• Drives architectural decisions across Informatica (on‑prem and cloud), public cloud services, and AI‑driven data capabilities
• Ensures scalable, secure, and high‑performance data solutions
• Partners with Product, Application, Software Engineering, Cloud Infrastructure, and Data Science teams

Senior ETL Platform Engineer

• Providing leadership, technical direction, and oversight to a team delivering technology solutions
• Oversight of the design, implementation, and maintenance of complex computer programs
• Align technical solutions to business objectives and ensure compliance with software development standards
• Conducting multiple software implementations with depth and breadth in knowledge of several technical competencies
• End-to-end ownership of application build, environment setup, and platform integration to production stability
• Incident management and continuous improvement

Senior Platform Engineer – Feature Lead, Development & L1/L2 Support Integration

• Lead the technical design and enablement of RTM use cases, focusing heavily on RTCDP
• Work with cross-functional teams to ensure high-fidelity behavioral data is captured and mapped correctly into AEP
• Develop a future-proof technical roadmap for AEP that prioritizes scalability and rapid deployment of new CX innovations.
• Define the "gold standard" for AEP schemas (XDM), identity namespaces, and profile merge policies
• Monitor dataflow health and ingestion patterns; proactively identify and resolve technical bottlenecks
• Manage the technical lifecycle of the platform, including feature adoption, sandbox management, and seamless upgrades
• Act as the primary technical point of contact for Adobe, influencing their product roadmap
• Partner with IT and Security to ensure the MarTech stack is architecturally sound.
• Develop technical KPIs to track platform uptime, data latency, and efficiency of audience activation.

Adobe Experience Platform Engineer

• Lead all aspects of application development towards meeting North Star Architecture for Verizon’s Value brands.
• Build the next generation of Value core platforms to deliver brand agnostic capabilities.
• Lead team in large scale business and technology transformation, modernization and platform consolidation.
• Drive key strategic initiatives for the organization, working as team leader with a group of delivery leaders, project managers and cross-functional stakeholders.
• Partner closely with vendors to ensure the contract compliance and service delivery.
• Define and implement the enterprise capability roadmap in alignment with overall business strategy and objectives.
• Develop and deploy stakeholder engagement plans to shift technology including digital adoption and artificial intelligence.

Senior Director – Software Development, Platform Engineering, Modernization

• Execute Enterprise telemetry and observability strategy, including metrics, logs, traces, events, dashboards, alerting, and SLOs across hybrid and cloud platforms
• Work with platform engineering teams responsible for observability platforms, automation frameworks, and self-service capabilities for application and infrastructure teams
• Drive standardization of telemetry and instrumentation across application portfolios to improve visibility, resiliency, and operational maturity
• Partner closely with application development, production support, SRE, cyber security, and business teams to align observability capabilities to business outcomes and operational needs
• Establish and govern best practices for monitoring, alerting, incident response, and automation, reducing MTTR and operational noise
• Lead automation initiatives across CI/CD, environment provisioning, monitoring, and remediation to eliminate manual toil
• Translate business and operational requirements into scalable platform capabilities, roadmaps, and technical standards
• Provide clear executive level communication on platform health, risks, operational insights, and improvement plans
• Manage vendor partnerships and platform selections related to observability, telemetry, and automation tools

Director – Platform Engineering, Automation

• Define and maintain golden paths for service creation, including service templates, starter kits, and scaffolding tools that let teams go from zero to production-ready with minimal friction
• Own developer onboarding workflows and maintain high-quality platform documentation
• Establish and evolve CI/CD pipeline standards across the organization
• Design release automation patterns, including rollout safety mechanisms such as canary deployments, progressive delivery, and automated rollbacks
• Build and maintain internal platform portals, reusable infrastructure modules, and paved-road workflows
• Enable product engineering teams to provision resources, configure environments, and ship features independently without reliance on other teams
• Champion platform adoption through clear documentation, enablement sessions, and a consultative approach
• Measure developer satisfaction and platform adoption metrics to continuously improve the experience
• Partner with product engineering, infrastructure, and operations teams to ensure platform tooling meets cross-platform needs
• Translate engineering pain points into scalable platform capabilities• Embed security and compliance requirements such as SOC2 and PCI-DSS into platform tooling and CI/CD pipelines

• Architecting, engineering, and enablement of large-scale, multi-tenant enterprise data platforms
• Building enterprise data lakes, lakehouses, or data warehouses that support data analytics, data engineering, AI/ML, and regulatory workloads
• Leading large, multi-tenant data platforms serving multiple lines of business
• Ensuring security, scalability, and operational excellence for shared enterprise data platforms
• Mentoring senior engineers and influencing platform adoption across teams

See all jobs on JobTailor

Vice President – Data & Platform Engineering

Lead AI Platform Engineer

Data Platform Engineer

Senior Integration Platform Engineer, AI & Agentic

Lead Data Platform Engineer

Manager, Data Platform Engineering

Market Data Platform Engineer

Senior Data Platform Engineer

Lead Infrastructure Platform Support Engineer

Senior Platform Engineer

Lead Full-Stack Platform Engineer – KFI Data Platform

Senior Platform Engineer

Principal Data & AI Platform Engineer

Senior ETL Platform Engineer

Senior Platform Engineer – Feature Lead, Development & L1/L2 Support Integration

Adobe Experience Platform Engineer

Senior Director – Software Development, Platform Engineering, Modernization

Director – Platform Engineering, Automation

Senior Platform Engineer

Principal Platform Engineer – Data Private Cloud, Kubernetes/OpenShift