We are partnering with a world-class healthcare and biotechnology leader to find a highly skilled Technical Lead - Databricks Developer. In this critical role, you will design and implement robust, scalable data engineering solutions using the Databricks Lakehouse architecture.
This position is ideal for a hands-on technical leader who excels at bridging the gap between complex data processing and client business needs. You will collaborate closely with enterprise architects and lead engineers, taking ownership of end-to-end data pipelines, optimizing system performance, and driving modern data governance practices in a dynamic corporate environment.
Key Responsibilities
Architecture & Solution Design: Collaborate with architects and lead engineers to design and build solutions that meet both functional and non-functional enterprise requirements.
Pipeline Engineering: Architect, build, and manage complex, scalable data pipelines supporting both batch and streaming data processing.
Databricks Orchestration & Governance: Implement and manage Databricks workflows orchestration, leveraging Unity Catalog for data governance and access control.
Performance Optimization: Proactively identify bottlenecks and drive rigorous performance optimization initiatives to maximize efficiency and significantly reduce compute costs.
Client Engagement: Work directly with customers and stakeholders, utilizing exceptional communication skills to translate business challenges into technical deliverables.
Required Qualifications
Databricks Expertise: Must have successfully implemented at least one enterprise project end-to-end within Databricks. Deep understanding of the Databricks Lakehouse concept and its implementation in large-scale environments is mandatory.
Core Data Components: Proven, hands-on experience with core ecosystem components including Delta Lake, Unity Catalog, Databricks Workflows, and basic data governance principles.
Programming & Frameworks: Excellent, production-level coding skills in Python, strong proficiency in SQL and Spark-SQL, and extensive knowledge of Apache Spark and Hive data processing frameworks.
Technical Foundations: Strong foundational knowledge of data structures, algorithms, and advanced analytical problem-solving skills.
Communication Skills: Exceptional verbal and written communication skills with the proven ability to engage confidently and directly with enterprise clients.
Preferred Qualifications
Industry Trends: Demonstrated knowledge of relevant industry standards, emerging data engineering trends, and modern cloud ecosystems.
Continuous Growth: A strong, proactive attitude toward learning new skills, upskilling in cutting-edge data technologies, and mentoring peers.
Education
Bachelors or Masters in Information Technology, Computer Science or relevant field.
Numbers & Facts
Location
NULL, AK (Remote)
Skills
Access Controlunmatched
Algorithmsunmatched
Analysis Skillsunmatched
Apache Hiveunmatched
Apache Sparkunmatched
Biotech and Pharmaceuticalunmatched
Cisco Unityunmatched
Cloud Computingunmatched
Communication Skillsunmatched
Computer Programmingunmatched
Computer Scienceunmatched
Cost Controlunmatched
Data Managementunmatched
Data Processingunmatched
Data Structuresunmatched
Ecosystemsunmatched
Enterprise Architectureunmatched
Healthcareunmatched
Industry Standardsunmatched
Industry/Trade Analysisunmatched
Information Technology & Information Systemsunmatched
Leadershipunmatched
Leading Edge Technologyunmatched
Medicineunmatched
Mentoringunmatched
Performance Tuning/Optimizationunmatched
Presentation/Verbal Skillsunmatched
Problem Solving Skillsunmatched
Process Improvementunmatched
Python Programming/Scripting Languageunmatched
SQL (Structured Query Language)unmatched
Software Engineeringunmatched
Technical Deliveryunmatched
Technical Leadershipunmatched
Trend Analysisunmatched
Writing Skillsunmatched
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