Lead system design and architecture reviews for scaled data warehouses and engineer and designing and deploying web scale applications
Deep experience in SRE and deploying application at scale to clouds. Strong foundation in SRE principles and practices
Create and maintain architectural documentation, including authoring and reviewing ADRs (Architecture Decision Records), to ensure alignment with overall software architecture
Data lakehouse design, data modeling, and integration patterns for deploy databases and data as a service, at scale
Provide technical direction for scaling complex features and initiatives involving data storage, processing and deployments
Familiarity with machine learning infrastructure and MLOps
Monitor and improve technical debt across all engineering teams, related to data storage, processing and site reliability
Partner with Engineering Managers to define key technical health metrics and streamline technical onboarding processes
Drive reliability, performance, and security best practices for data storage, processing and SRE
Break down complex technical tasks into clear, manageable deliverables for the team
Ensure sustainable engineering practices and code quality standards
Serve as a technical guide for team members, helping them understand data access and storage and deployment architecture, and development practices
Ensure teams are delivering solutions to satisfy requirements while aligning to current and future architectural designs
Coach and mentor engineers on data storage, warehouse, processing, and SRE systems architecture, and best practices
Lead by example through high-quality code contributions to critical or complex components
Share knowledge of hyperscale data warehouse/lakehouses, data models, and emerging technologies with the team
Assist SRE teams with improving stability, automation, and scalability
Conduct code reviews with focus on architectural alignment and quality
Support hiring processes and technical assessments for engineering candidates
Partner with Engineering Managers through regular 1:1s and team planning sessions
Collaborate with product management, UX, and other architects to design and deliver new software solutions
Work with other Technical Architects to identify and resolve cross-team dependencies and technical challenges
Ensure technical roadmap alignment with product and business priorities
Participate in and contribute to platform-wide architectural initiatives
Take ownership of the entire lifecycle and toolchain of all data components from design through deployment
Contribute to critical technical implementations, balancing hands-on coding with architectural responsibilities
Work collaboratively in a fast-paced environment touching a variety of projects and products
Build software that will meaningfully impact how people approach data privacy

Requirements

Bachelor's degree in Computer Science, Engineering, or related technical discipline (or equivalent experience)
At least 7 years of data warehouse, database, or data processing experience
Proven experience in architectural or technical leadership roles
Strong knowledge of cloud data warehouses (Snowflake, BigQuery, Redshift, or Synapse)
Strong experience with lakehouse platforms (Databricks, Delta Lake, Apache Iceberg, or Hudi)
Deep understanding of data modeling techniques (Kimball, Data Vault, or dimensional modeling)
Experience with columnar storage formats (Parquet, ORC)
Strong knowledge of batch and stream processing architectures
Experience with workflow orchestration tools (Airflow, Prefect, Dagster, or similar)
Understanding of CDC (Change Data Capture) patterns and tools
Strong foundation in SRE principles and practices
Experience with infrastructure as code (Terraform, CloudFormation, or Pulumi)
Proficiency in containerization and orchestration (Docker, Kubernetes)
Knowledge of monitoring and observability tools (Datadog, Prometheus, Grafana, or similar)
Experience with CI/CD pipelines and DevOps practices

Benefits

A Flexible PTO policy — we strongly encourage you to take time off (in addition to 14 holidays) to ensure that you are getting the proper time needed to unplug and recharge.
A $1,500 annual Learning & Development Stipend focused on providing you the resources to continually learn and professionally grow.
Frequent company-sponsored team celebrations that provide ample opportunities to connect with teammates and be social!
Access to an Employee Assistance Program
Access to Headspace, a mental health app tailored to your specific needs.
A flat 3% contribution to your retirement account
A high degree of flexibility — Have an appointment, errand, or family emergency to take care of? Hop to it! We give you the time and space to take care of you and your own first.
Competitive compensation
Generous parental, medical, and bereavement policies
Uncapped commissions for Sales roles
401K contribution and stock options
Full medical, dental, and vision benefits
New Hire Swag and IT Welcome boxes
Structured semi-annual 360° performance reviews

Applicant Tracking System Keywords

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

Hard Skills & Tools

data warehousedata processingcloud data warehouseslakehouse platformsdata modeling techniquescolumnar storage formatsbatch processingstream processinginfrastructure as codecontainerization

Soft Skills

technical leadershipcoachingmentoringcollaborationcommunicationproblem-solvingtechnical directiondocumentationcode qualityteam management

Certifications

Bachelor's degree in Computer ScienceBachelor's degree in Engineeringrelated technical discipline