Databricks Practice Lead
12 hours ago
We are seeking a visionary Data Engineering Practice Lead to spearhead our Databricks practice, delivering cutting-edge data solutions and driving impactful customer engagements.
Key Responsibilities:
• Develop and expand our Databricks practice, crafting methodologies and service offerings tailored to client needs.
• Oversee multiple customer projects, providing technical leadership and ensuring high-quality delivery of Databricks-based solutions.
• Design complex data processing, analytics, and machine learning solutions using Databricks, Delta Lake, Apache Spark, and MLflow.
• Partner with sales teams to develop proposals and articulate the value of Databricks solutions.
Requirements
We're searching for a leader with:
• 10+ years in data engineering, with 3-5 years of hands-on experience in Databricks.
• Technical skills: expertise in Databricks, Delta Lake, and Apache Spark, proficiency in Python, Scala, and SQL, and strong understanding of cloud platforms (AWS, Azure, GCP) and their integration with Databricks.
• Leadership abilities: proven track record of managing complex customer engagements and leading teams.
• Certifications: Databricks certifications (e.g., Certified Associate or Professional) are highly desirable.
• Additional knowledge: familiarity with machine learning workflows and MLOps practices using MLflow, understanding of data governance, security, and compliance requirements, and experience with Agile methodologies and their application in data engineering projects.
What We Offer
• Take ownership of a growing Databricks practice and set industry benchmarks.
• Work with the latest Databricks technologies, delivering transformative data solutions.
• Be part of a passionate, innovative team that values knowledge-sharing and growth.
• Deliver solutions that drive real-world impact across industries.
• Thrive in a role designed to challenge and elevate your expertise.
Estimated Salary Range
$140,000 - $200,000 per year.
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