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Strong Tier-1 employer and metro location increase applicants, but seniority and niche Databricks/IDMC skills limit density.
Pharmaceutical GxP, Salesforce integrations, and Databricks governance demand industry-specific experience.
Mandatory 8-12 years, Databricks/AWS/IDMC expertise and GxP compliance make filters stringent.
Manage and mentor a data engineering team to deliver scalable data pipeline architectures and ensure successful delivery of high-impact analytics projects.
Define and enforce engineering governance, including CI/CD, testing standards, and compliance frameworks, while overseeing AWS and Databricks platform strategies.
Collaborate with technical leaders and commercial stakeholders to align data engineering roadmaps with business goals and maintain stakeholder trust and SLAs.
Bachelor's degree in Computer Science or related field.
8-12 years of experience in data engineering with proven people and team leadership.
Strong expertise in SQL, Python, ETL, IDMC, AWS, Databricks, data warehousing, data modeling, and CI/CD.
Experience with Salesforce integration governance, cloud cost management, compliance including data privacy and GxP, and delivery/program management.
Experienced leader capable of managing and scaling data engineering teams in a hybrid work environment focused on cloud platforms AWS and Databricks.
Demonstrates strategic oversight of enterprise data architectures including integration between Salesforce CRM and cloud data lakehouses.
Skilled in stakeholder management and translating commercial business priorities into actionable data engineering initiatives.