Data Engineering Practice Lead
2 days ago
At Recro, we are seeking a visionary Data Engineering Practice Lead to drive innovation and excellence in our Databricks practice.
About the RoleThis is an exceptional opportunity for a seasoned data engineering leader to take ownership of our growing Databricks practice and set industry benchmarks. As the Practice Lead - Databricks Strategist, you will be responsible for developing and expanding our Databricks practice, crafting methodologies, best practices, and service offerings tailored to client needs.
The ideal candidate will have 10+ years of experience in data engineering, with 3-5 years of hands-on experience in Databricks. A strong understanding of cloud platforms (AWS, Azure, GCP) and their integration with Databricks is essential. Additionally, expertise in Databricks, Delta Lake, Apache Spark, Python, Scala, SQL, and Agile methodologies is highly desirable.
We offer a competitive salary range of $175,000 - $225,000 per year, depending on location and experience. Our comprehensive benefits package includes health insurance, retirement planning, and opportunities for career growth and professional development.
Responsibilities- Lead and Grow: Develop and expand our Databricks practice, crafting methodologies, best practices, and service offerings tailored to client needs.
- Deliver Excellence: Oversee multiple customer projects, providing technical leadership and ensuring high-quality delivery of Databricks-based solutions.
- Architect Solutions: Design complex data processing, analytics, and machine learning solutions using Databricks, Delta Lake, Apache Spark, and MLflow.
- Collaborate Strategically: Partner with sales teams to develop proposals, scope projects, and articulate the value of Databricks solutions.
- Mentor Teams: Guide and upskill data engineers, building a strong technical team with deep expertise in Databricks technologies.
- Drive Innovation: Stay at the forefront of Databricks advancements, participating in partner programs and leveraging resources to enhance capabilities.
- Train & Educate: Create internal training programs to ensure teams are proficient in Databricks technologies and best practices.
- 10+ years of experience in data engineering, with 3-5 years of hands-on experience in Databricks.
- Expertise in Databricks, Delta Lake, Apache Spark, Python, Scala, SQL, and Agile methodologies.
- Strong understanding of cloud platforms (AWS, Azure, GCP) and their integration with Databricks.
We are looking for a dynamic and visionary leader who can drive innovation and excellence in our Databricks practice. If you are passionate about data engineering and want to take your career to the next level, please apply now.
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