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Job Description

A global law firm with nearly 1,400 lawyers and more than 3,000 employees across 19 offices in the United States, Europe, and Asia is looking to build out a data lake to encompass both internal and external data. The role is a long-term contract with the right to hire, so the candidate must be commutable to one of their office locations: Boston MA, NYC, Palo Alto CA, Chicago IL, Denver CO, LA, Miami FL, Reston VA, San Diego CA, San Francisco CA, Santa Monica CA, Seattle WA, or Washington DC. The role will require 4-8 days onsite per month. The firm is widely recognized for its expertise in corporate law, litigation, intellectual property, life sciences, technology, and venture capital, advising on transformative deals, IPOs, and complex regulatory matters. The firm has earned numerous workplace accolades, including being named to Fortune’s Best Companies to Work For and receiving honors such as Best Workplaces for Women, Best Workplaces for Flexibility, Best Workplaces for Giving Back, and Best Workplaces for Parents.

The firm is looking to hire an Enterprise Solution Architect (Data Platform Architect) to join their team building this greenfield data lake. The role is 50/50 hands-on vs leadership responsibilities. Their primary responsibility will be to own the end-to-end architecture of the enterprise data platform, ensuring all components—ingestion, storage, processing, governance, security, and consumption—integrate seamlessly into a unified, scalable, and future-proof design.

Key Focus Areas:

-Define platform standards (e.g., Lakehouse architecture, Medallion zones, Unity Catalog integration).

-Ensure interoperability between ingestion tools (Qlik, Fivetran), transformation (dbt, Spark), governance (Collibra, Unity Catalog), and analytics layers.

-Drive scalability and performance decisions (cluster sizing, serverless vs. dedicated).

-Align security and compliance with enterprise policies (Entra ID, entitlements, PII handling).

-Act as the bridge between business and technical teams, translating strategic goals into architectural blueprints.

-Strategic thinking for future-proof architecture decisions

Compensation:

$68/hr to $82/hr.

Exact compensation may vary based on several factors, including location, skills, experience, and education.

Employees in this role will enjoy a comprehensive benefits package starting on day one of employment, including options for medical, dental, and vision insurance. Eligibility to enroll in the 401(k) retirement plan begins after 90 days of employment. Additionally, employees in this role will have access to paid sick leave and other paid time off benefits as required under the applicable law of the worksite location.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to [email protected] learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Skills and Requirements

- 7-10+ years Solution Architecture, Enterprise Architecture, and/or Data Platform Architecture

- Proven experience building out a data lake in the cloud

- Expertise in modern data architectures (Lakehouse, Medallion zones)

- Hands-on knowledge of ingestion, transformation (dbt, Spark), and governance tools (Collibra, Unity Catalog)

- Experience building data lakes in the cloud with vendor ingestion tools (Qlik, Fivetran)

- Strong background in cloud platforms (Azure, AWS, or GCP) for data services

- Ability to translate business requirements into technical blueprints - law firm background