Enterprise Data Engineer Leadership Role
We are seeking an experienced and innovative Enterprise Data Engineer to design, develop, and lead the delivery of high-performance data integration and analytics solutions. The ideal candidate will have deep expertise in query optimization, database performance tuning, and leadership skills.
The successful candidate will be responsible for optimizing database performance, analyzing execution plans, and recommending indexing strategies. They will also oversee ETL/ELT workflows, ensuring scalability, efficiency, and data quality.
Additionally, they will leverage AWS services (S3, Redshift, Glue, Lambda, DMS) for ingestion, transformation, and storage. They will lead and mentor the team, fostering technical excellence and continuous improvement.
The selected candidate will translate technical decisions into clear explanations for both technical and business stakeholders.
Key Qualifications
* 7+ years of experience in data engineering within enterprise-scale environments.
* Expertise in Oracle performance tuning, including query optimization, execution plans, indexes, partitioning, and parallelism.
* Hands-on experience writing and optimizing complex SQL queries.
* Experience in data warehouse design, ETL/ELT processes, and data modeling.
* Proven leadership experience, including team mentoring and technical guidance.
* Excellent communication skills, with the ability to collaborate effectively with DBAs, technical teams, and business stakeholders.
Leadership Expectations
The selected candidate is expected to possess strong leadership skills, with the ability to guide and mentor the team towards achieving strategic objectives.
They will foster a culture of innovation, collaboration, and technical excellence, driving the development of high-performance data solutions.