VP - Senior Data Engineer (Python/Snowflake/Apache Airflow)
BlackRock, Inc.Match Score
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Protocol Intelligence
Data-driven signals on your job's competitivenessStrong Tier-1 brand plus a common Data Engineer title increases applicant competition moderately.
Technical data engineering skills transfer across industries, but finance enterprise and Snowflake/dbt needs increase specificity.
Explicit 8+ years requirement and many mandatory technologies (Airflow, Snowflake, dbt, Python) make filtering strict.
Job Description
Structured overview of role & requirementsAbout This Role
Design, develop, and optimize large-scale, enterprise data platform capabilities including data acquisition, ingestion, transformation, workflow orchestration, and automation using Python, Snowflake, Apache Airflow, dbt, and cloud-native technologies.
Lead production support (L2/L3), platform modernization initiatives, and drive continuous improvements in performance, reliability, scalability, and operational efficiency of data workflows and frameworks.
Mentor junior engineers and collaborate with cross-functional teams to deliver end-to-end, metadata-driven, high-performance data solutions incorporating emerging technologies like Agentic AI.
Minimum Requirements
Bachelor’s degree in Computer Science, Information Systems, or related technical field.
Minimum 8 years of experience in Data Engineering or Data Platform Engineering roles.
Hands-on expertise with Apache Airflow, Python, Snowflake (or equivalent cloud data warehouse), dbt, complex SQL development and optimization, and cloud platforms (Azure, AWS, or GCP).
Experience with streaming technologies (e.g., Snowpipe, Kafka), metadata management, data quality and governance, containerization (Docker, Kubernetes), and modern software engineering practices (Agile, CI/CD).
Ideal Candidate Profile
Experienced senior engineer with proven ability to architect scalable, maintainable enterprise data solutions and lead technical design decisions.
Strong background in cloud-native data platform engineering with demonstrated success in driving platform performance improvements and modernization using advanced tooling and AI capabilities.
Effective mentor and collaborator working in Agile environments, capable of bridging technical and business stakeholders to deliver impactful data products.