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Senior niche data engineering role at lesser-known firm with remote option, reducing applicant competition.
Senior enterprise data engineering role moderately constrained; skills transferable but domain experience preferred.
Explicit 12+ years plus mandatory advanced data engineering, cloud, and platform skills enforce stringent shortlisting.
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Lead design and implementation of scalable data engineering solutions including data pipelines, data models, and analytics-ready data products in a cloud environment.
Define and drive modernization of legacy data platforms to cloud-native, automated data architectures supporting business analytics and AI/ML use cases.
Provide technical leadership including architecture design, code review, performance tuning, production support, and mentoring of data engineering teams.
Bachelor’s degree in computer science, information systems, data engineering, or related fields.
12+ years of experience in software engineering, data engineering, or enterprise data platform development.
Strong experience with Python, SQL, ETL/ELT development, and distributed data processing frameworks such as Spark.
Experience with cloud-based data platforms (preferably AWS), enterprise data warehouses, and modern data transformation tools (e.g., dbt).
Experienced senior engineer capable of leading complex, cross-functional data integration and modern cloud data platform initiatives.
Strong background in scalable data engineering, cloud technologies (AWS preferred), and AI/ML data engineering enablement.
Skilled in mentoring teams and establishing engineering standards with a focus on reliability, governance, security, and performance optimization.