Define and own the target-state architecture for the enterprise data platform, including Lakehouse, streaming, batch processing, semantic layers, and AI/ML platform capabilities
Establish and maintain a multi-year roadmap that balances scalability, resilience, regulatory compliance, and business value delivery
Drive architectural standards, patterns, and reference implementations to enable consistent and reusable platform capabilities
Lead the design, build, and operation of high-throughput, highly available data platforms supporting petabyte-scale workloads
Ensure platform capabilities support real-time and batch ingestion, transformation, storage, and consumption across enterprise use cases
Enable scalable support for analytics, reporting, data products, and machine learning lifecycle requirements
Lead transformation from fragmented and siloed data environments to a unified, governed platform
Drive adoption of platform services and reduce duplication across teams
Establish enterprise standards for data quality, lineage, metadata, cataloging, observability, and lifecycle management
Ensure platform design and operations meet security, privacy, and regulatory requirements, particularly for sensitive and PII data
Partner with Security, Risk, and Compliance functions to align with enterprise governance frameworks (e.g., SOC 2 and related controls)
Drive enterprise adoption of platform services and data product capabilities
Build and lead high-performing platform engineering organizations, including senior leaders and architects
Establish a culture of ownership, engineering excellence, and operational discipline
Partner with Data Science, Product, Engineering, Security, Risk, and business stakeholders to align platform capabilities with enterprise priorities
Enable use cases across analytics, AI/ML, product intelligence, and operational reporting

Requirements

Bachelor’s degree in computer science, Engineering, or related field; advanced degree preferred
15+ years of experience in data engineering, platform engineering, or distributed systems, including significant leadership experience
Demonstrated success leading enterprise-scale data platform strategy, architecture, and transformation initiatives
Deep expertise in modern data architectures (Lakehouse, data lake, data warehouse, or hybrid models)
Strong technical background in distributed systems, data processing frameworks, storage, and cloud-native platform design
Experience building and operating platforms supporting both streaming and batch data processing
Experience supporting AI/ML platforms and data systems for advanced analytics use cases
Strong understanding of data governance, security, privacy, and compliance in regulated environments
Proven ability to lead large-scale engineering organizations and develop senior technical leaders
Strong communication and influencing skills at executive and cross-functional levels.

Benefits

Healthcare Coverage – Competitive medical (PPO/HDHP), dental, and vision plans as well as company contributions to your Health Savings Account (HSA) or pre-tax savings through flexible spending accounts (FSA) for commuting, health & dependent care expenses.
401(k) Retirement Plan – Featuring a 100% Company Safe Harbor Match on your first 6% deferral immediately upon eligibility.
Paid Time Off – Flexible Time Off for Exempt (salaried) employees, as well as generous PTO for Non-Exempt (hourly) employees, plus 11 paid company holidays and a paid volunteer day.
12 weeks of Paid Parental Leave
Maven Family Planning – provides support through your Parenting journey including egg freezing, fertility, adoption, surrogacy, pregnancy, postpartum, early pediatrics, and returning to work.
And SO much more! We continue to enhance our program, so be sure to check our Benefits page here for the latest.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data platform architectureLakehousestreaming data processingbatch processingAI/ML platform capabilitiesdata governancedata qualitydata lineagecloud-native platform designdata processing frameworks

Soft Skills

leadershipcommunicationinfluencingcollaborationownershipengineering excellenceoperational disciplinestrategic thinkingcross-functional alignmentteam building