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Lead Data Engineer
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Based on California data
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What they do
A Data Engineer designs, builds and manages the information or big data infrastructure. Develops the architecture that helps analyze and process data in the way the organization needs it. Makes sure those systems are performing smoothly.
$127,645 / year median in California
+3% projected growth
Job Description
INFO SALARY
$185000
- $235000 LOCATION San Francisco
JOB TYPE
Permanent Senior Data Engineer / Analytics Engineer Downtown San Francisco | Hybrid (4 days onsite) What You'll Do Data Engineering & Infrastructure Design, build, and maintain data pipelines from ingestion through transformation and delivery Own data modeling and transformation across the firm's core data sources Build and maintain a reliable, scalable data infrastructure from the ground up Ensure data quality, consistency, and governance across systems Analytics & Business Partnership Serve as the primary technical translator between data systems and non-technical business stakeholders Partner with wealth management, finance, operations, and leadership teams to understand data needs and deliver solutions they can actually use Build reporting and analytics capabilities that give the business clear visibility into performance and client data Communicate complex data concepts in plain language
- confidently and clearly AI & Modern Tooling Leverage AI tools to improve productivity and analytical output
- familiarity with tools like Glean expected Contribute to the firm's evolving AI initiatives as they develop Stay current on relevant AI and data tooling and bring practical recommendations to the team What We're Looking For Required Strong proficiency in Python and SQL Hands-on experience with data modeling, transformation, and pipeline development Ability to work independently as the primary or sole data practitioner•this is not a large team environment Confident communicator•comfortable presenting to and advising non-technical stakeholders including senior leadership High EQ•personable, collaborative, and able to build trust with people across the organization 4 days per week onsite availability in downtown San Francisco Strongly Preferred Background in finance, wealth management, or financial services Experience at a private equity-backed company or PE rollup environment Familiarity with wealth management workflows, data structures, and reporting needs Experience as the sole or primary data person at a company•someone who has had to be resourceful, self-directed, and scrappy Exposure to AI tools in a professional context (Glean or similar) Compensation Base salary: $185,000•$235,000 Discretionary bonus Downtown San Francisco office•hybrid, 4 days onsite per week CONTACT Tim Lucas Manager