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About the Role

As a leading technology law firm, Cooley is determined to become a leader in the digital practice of law. The Platform Architect is a technical individual contributor within the Platform & Operations function, responsible for the architecture, design, and evolution of the Databricks platform that underpins the Northstar Lakehouse. This role owns the platform architecture decisions that determine how the Northstar Lakehouse is organized, secured, monitored, and scaled.

Responsibilities

Own the Databricks platform architecture for the Northstar Lakehouse, making and documenting the platform design decisions that govern how the platform is organized, secured, and scaled.
Design and maintain the Unity Catalog governance architecture, establishing catalog hierarchy, schema design patterns, access control frameworks, row-level security and column-level masking configurations, and audit logging standards.
Define and maintain compute architecture standards across the platform including job cluster configuration, SQL warehouse sizing, photon enablement, instance pool design, and cost-efficient compute patterns.
Evaluate new Databricks platform capabilities as they become available including FMAPI, Mosaic AI, Databricks Apps, Genie, Databricks Lakebase, and model serving infrastructure, making architectural recommendations on adoption timing and integration patterns.
Design the platform's data observability architecture including Databricks Lakehouse Monitoring configuration, alerting thresholds, drift detection standards, and integration with the Data Quality Engineer's DQE monitoring framework.
Own the platform architecture documentation as a living artifact, maintaining current and accurate records of all platform architecture decisions, reasoning, and the implications for future platform evolution.
Own and evolve the CI/CD framework for the Databricks platform, ensuring reliable and automated promotion of pipeline code, notebook changes, and platform configuration through development, UAT, and production environments.
Maintain and extend the Databricks Asset Bundle configuration, GitHub Actions workflows, and environment-specific configuration management.
Define and enforce branching strategies, pull request standards, code review requirements, and deployment gate criteria.
Design and implement infrastructure-as-code patterns for Databricks resource management.
Collaborate with the DataOps Engineer on CI/CD framework operation and pipeline deployment automation.
Partner closely with the Director of Data Engineering & Platform on platform architecture decisions.
Collaborate with the Data Engineering team on pipeline architecture decisions that have platform implications.
Work with the Platform Governance & Quality function on Unity Catalog governance configuration.
Coordinate with the firm's Technology function on infrastructure dependencies outside the Databricks platform.
Provide technical guidance to the Platform Operations Engineer on platform operational patterns, monitoring configuration, and incident resolution approaches.
Perform other duties as assigned or required.

Requirements

After orientation at Cooley LLP, exhibit proficiency in the Microsoft Office suite, iManage, and other firm applications.
Ability to work extended and/or weekend hours, as required.
Ability to travel, as required.
4+ years directly applicable experience (data platform engineering, cloud infrastructure, or data architecture with hands-on responsibility for Databricks platform design and administration in a production enterprise environment).
Deep Databricks expertise including Unity Catalog architecture and governance configuration, Delta Lake table design and optimization, compute tier strategy, workspace administration, and Databricks platform administration at an enterprise scale.
Strong CI/CD experience including GitHub Actions, Databricks Asset Bundles, infrastructure-as-code patterns, and environment promotion pipeline design for a data engineering team.
Experience with Unity Catalog access control implementation including catalog and schema privilege design, row-level security, column-level masking, and audit logging configuration.
Working knowledge of cloud infrastructure fundamentals on AWS including IAM, VPC networking, S3 storage configuration, and connectivity patterns between cloud infrastructure and Databricks workspaces.
Strong Python and SQL proficiency for platform automation, monitoring script development, and pipeline architecture review.
Experience with Databricks Lakehouse Monitoring or comparable data observability platform for drift detection and quality metric alerting.
Comfort using GitHub for version control, CI/CD pipeline development, and infrastructure-as-code management.
Strong written communication skills for platform architecture documentation, decision records, and technical standards development.
Architectural judgment to make platform design decisions that serve the platform for years rather than just solving the immediate problem.
Strong platform ownership instincts with the discipline to document every architectural decision, maintain current platform documentation, and ensure institutional knowledge lives in artifacts not memory.
Strong collaborative instincts with the ability to work effectively across data engineering, governance, and IT infrastructure functions and explain platform architecture decisions clearly to non-platform audiences.
Excellent engineering craft with high standards for CI/CD pipeline quality, infrastructure-as-code discipline, and platform configuration reproducibility.
Growth-oriented mindset with genuine curiosity to stay current on Databricks platform capabilities and evaluate new features thoughtfully against the platform's actual needs.
Strong independent judgment with the ability to make sound platform architecture decisions within scope and escalate decisions that require Director input.
Strong attention to detail.
High level of professionalism at all times.
Unwavering ability to handle and maintain confidentiality regarding firm information, projects, and client data.

Skills

Databricks
Unity Catalog
Delta Lake
CI/CD
GitHub Actions
Databricks Asset Bundles
Infrastructure-as-code
AWS
IAM
VPC networking
S3 storage
Python
SQL
Databricks Lakehouse Monitoring
GitHub
FMAPI
Mosaic AI
Databricks Model Serving
Databricks Apps
Apache Kafka
Qlik Replicate
Terraform
AWS CloudFormation
Data Vault 2.0
Databricks Lakebase
Claude Code
GitHub Copilot

Experience Level

4+ years directly applicable experience

Education Level

Bachelor’s degree

Salary/Compensations

$175,000 - $250,000

Benefits

Competitive compensation
Excellent benefits program
Full range of elective benefits including medical, health savings account (with applicable medical plan), dental, vision, health and/or dependent care flexible spending accounts, pre-tax commuter benefits, life insurance, AD&D, long-term care coverage, backup care for children and/or adults and other parental support benefits.
Firm-paid life insurance, AD&D, LTD, short term medical benefits
21 days of Paid Time Off (“PTO”)
10 paid holidays each year
Generous parental leave
Fertility benefits

About the Company

Cooley AI is the wholly-owned subsidiary of Cooley LLP. The frontier development arm of the leading technology law firm in the world.
Our mission is to bring the best-in-class practices from the technology field into the legal domain to help lead our firm and the legal industry into the AI era.
All employees of Cooley AI are employees of Cooley and are seconded to Cooley AI.