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Senior, niche Databricks/Snowflake data-platform role at a mid-tier firm reduces applicant density somewhat.
Deep data platform and cloud expertise required; transferrable across industries but financial-services preference increases sensitivity.
Explicit 12+ years and mandatory Databricks/Snowflake/cloud leadership make filters very strict.
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Provide technical leadership and oversee delivery excellence in Data Engineering, Cloud, AI, and enterprise data platform projects.
Lead and mentor engineering teams, ensuring high-quality delivery and continuous skill development.
Engage with clients and cross-functional stakeholders to design scalable, secure, cost-effective data architectures and drive engineering best practices.
12+ years in Data Engineering, Data Platforms, Cloud Technologies, AI-enabled data solutions, and enterprise architecture.
4+ years in a Technical Leadership role with experience in team management, mentoring, and delivery ownership.
Hands-on expertise in Databricks, Snowflake, and cloud platforms like AWS, Azure, or GCP.
Strong skills in Spark, PySpark, Python, SQL, data modeling, data cataloging, metadata management, and enterprise data governance.
Experienced in driving AI/ML-enabled data solutions and automation within enterprise data platforms.
Proven ability to manage client engagements and collaborate with diverse technical and business teams.
Demonstrated strategic mindset with strong ownership of outcomes and enforcing best practices in data engineering and cloud architecture.