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Tier-1 brand, Bangalore location, and broad technical requirements create high candidate competition.
Core data engineering skills are transferable but private markets/financial domain preference raises fit sensitivity moderately.
Strong mandatory stack and senior technical leadership expectations increase filtering strictness significantly.
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Lead hands-on technical design and development of scalable data pipelines and analytics platforms focusing on Snowflake, SQL, and Python.
Provide technical leadership and accountability within the Private Markets Data Engineering team, managing data architecture, engineering decisions, and a team of data engineers.
Collaborate with business stakeholders to align data initiatives with strategic objectives and oversee technical delivery prioritizing business outcomes.
Proven senior technical experience with Snowflake, SQL, and Python.
Experience in data architecture and pipeline tooling (e.g., dbt, Dagster, Airflow) and cloud platforms (Azure or AWS preferred).
Demonstrated leadership experience including managing or directing engineers and leading complex technical initiatives.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in bridging technical delivery and strategic business alignment within data engineering teams in a fast-paced environment.
Strong skills in translating business requirements into scalable technical solutions with emphasis on data infrastructure and analytics.
Familiarity with private markets data, AI/ML infrastructure, and cloud engineering best practices.