Senior Databricks Developer

About the Role

We are seeking a hands-on Senior Databricks Developer to join our global manufacturing organization operating across 30+ plants worldwide. The ideal candidate will bring deep technical expertise in Databricks (with certification), strong proficiency in reporting and analytics tools, and a solid functional understanding of financial and operational reporting in a manufacturing setup.

This role requires close collaboration with the senior line and support management teams, directly contributing to strategic initiatives, business improvement programs, and AI-driven innovation.

Key Responsibilities

• Ability to communicate well with senior leadership in IT and manufacturing.
• Design, develop, and maintain scalable data pipelines and analytical solutions on the Databricks platform.
• Serve as the technical SME (Subject Matter Expert) for Databricks and related data architecture components.
• Lead and support reporting initiatives for financial, operational, and manufacturing KPIs across plants.
• Collaborate with business stakeholders and senior management to define reporting needs, translate requirements into technical solutions, and ensure alignment with strategic goals.
• Participate in brainstorming sessions with senior leadership to ideate and develop:
• New facility onboarding strategies
• Feature enhancements and data model improvements
• AI/ML use cases to maximize Databricks adoption and automate reporting
• Propose innovative solutions with clear business cases, balancing technology, cost, and impact.
• Partner with cross-functional and remote teams to deliver high-quality, timely, and actionable insights.
• Ensure data accuracy, governance, and performance optimization across all Databricks environments.
• Support continuous improvement initiatives for enterprise data architecture and analytics maturity.

Qualifications

Education & Certification:

• Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Engineering, or related field.
• Databricks Certified Data Engineer / Data Analyst / Machine Learning certification (required).
• Additional certifications in Azure and Power BI will be preferred

Experience:

• 10+ years of total experience in data engineering or advanced analytics roles.
• 3+ years hands-on experience with the Databricks platform (Delta Lake, Spark, MLflow, Unity Catalog, etc.).
• Proven experience working with reporting and visualization tools such as Power BI, Tableau, or Qlik.
• Strong understanding of financial and operational reporting, including manufacturing KPIs (e.g., OEE, cost analysis, production efficiency, variance reporting, etc.).
• Demonstrated success in data-driven business transformation projects within a manufacturing or industrial environment.
• Experience collaborating with remote and cross-functional teams across time zones.

Skills:

• Advanced proficiency in SQL, Python, and Spark.
• Strong knowledge of data modeling, ETL processes, and data governance.
• Excellent communication and stakeholder management skills.
• Ability to translate complex technical solutions into clear business outcomes.
• Strong analytical and problem-solving mindset.
• Exposure to AI/ML and predictive analytics is a plus.