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Tier-1 brand, popular data role with broad stack and metro location increases applicant competition.
Requires deep data engineering, Snowflake/dbt and cloud expertise, making skills less transferable across unrelated fields.
Mandatory deep Snowflake/SQL/Python expertise and leadership responsibilities enforce strict screening.
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Lead and provide hands-on technical leadership for data architecture and engineering within the Private Markets Data Engineering team.
Architect and oversee scalable, reliable data pipelines and analytics platforms focusing on Snowflake, SQL, and Python, accountable for end-to-end technical design and sustainability.
Manage data engineering team and influence technical prioritization aligned with business impact and strategic objectives.
Proven senior technical experience with Snowflake, SQL, and Python.
Experience managing technical teams and leading complex data engineering initiatives.
Deep knowledge of data architecture, pipeline design (preferably dbt), pipeline tooling (e.g., Dagster, Airflow), and cloud platforms (Azure or AWS).
Work Experience Required: Proven experience in senior technical roles, exact years not explicitly mentioned.
Experienced in translating complex business requirements into scalable data engineering solutions within a fast-paced environment.
Strong technical authority with proven ability to influence stakeholders and provide architectural guidance.
Demonstrated expertise with modern data engineering practices including AI/ML integration, infrastructure as code, and CI/CD pipelines.