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Tier-1 brand, metro location, and in-demand data engineering skills create moderate applicant density.
Data engineering skills transfer across industries, but finance domain and Databricks expertise increase role specificity.
Explicit 10+ years requirement plus mandatory data engineering, Python, SQL, AWS, ETL, and Databricks narrows pool.
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Architect and engineer solutions for ingesting, maintaining, enhancing, and exposing internal company data within the Data Lake.
Lead technical project work influencing engineering decisions across the department, focusing on modernizing infrastructure with Databricks and AI-based solutions.
Collaborate with cross-functional teams and stakeholders, ensuring security and SOX compliance in data solutions for strategic company initiatives.
Bachelor's or Master's degree in Computer Science or equivalent.
10+ years of software engineering experience with deep expertise in data engineering, including experience as a Lead or Principal Software Engineer.
Proficiency in Python, SQL, relational databases, ETL pipelines, and workflow management.
Experience with AWS cloud technologies, specifically EC2, and familiarity with Databricks; experience with AI technologies also required.
Experienced technical leader capable of influencing engineering decisions and leading complex strategic projects involving large-scale data solutions.
Strong collaborator with demonstrated ability to engage non-technical corporate stakeholders (Finance, Sales, Executives).
Expertise in evolving data infrastructure from traditional SQL to modern Databricks and AI-driven platforms, emphasizing security and compliance.