Databricks Developer

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Databricks Developer

Salary: $134,910-$149,900

What You Will Do

• Design, develop, and maintain scalable data pipelines and ELT/ETL workflows using

Databricks

and

Apache Spark (PySpark/Spark SQL)

• Build and optimize modern

lakehouse architectures

using Delta Lake and related data formats (e.g., Parquet, Iceberg)

• Develop production-grade data workflows using

Databricks Workflows

and/or declarative pipeline frameworks

• Implement data governance, security, and access controls using

Unity Catalog

and related enterprise frameworks

• Support

data migration and modernization initiatives

, transitioning legacy data warehouse systems to cloud-based platforms

• Apply

medallion architecture principles

(bronze, silver, gold layers) in scalable solution design

• Implement

CI/CD pipelines

and infrastructure-as-code for Databricks environments (e.g., Terraform, Databricks Asset Bundles, GitHub Actions)

• Monitor, troubleshoot, and resolve production data pipeline issues to ensure system reliability and performance
• Collaborate with technical and business stakeholders to gather requirements and translate them into scalable data solutions
• Participate in

code reviews, testing, documentation, and deployment

activities

• Contribute to the continuous improvement of data engineering standards, tools, and best practices
• Provide technical support during solution implementation and stabilization phases
• Perform other duties as required

What You Will Need

• Bachelor’s degree in Engineering, Information Technology, Computer Science, or a related field (or equivalent experience)
• 5\+ years of data engineering experience

, with at least

4\+ years focused on Databricks

• Strong proficiency in

Apache Spark (PySpark and/or Spark SQL)

and advanced

SQL

• Experience designing and implementing solutions on

AWS, Azure, or GCP

• Proven experience in

cloud modernization, data migration, and data warehousing initiatives

• Strong understanding of

data security, messaging patterns, ELT processes, and data integration architectures

• Hands-on experience with cloud computing, database technologies, and data processing frameworks
• Ability to prioritize tasks, manage multiple responsibilities, and contribute to high-performing, collaborative teams
• Excellent verbal and written communication skills, with the ability to engage effectively across technical and business audiences
• Highly analytical, detail-oriented, and self-motivated, with a strong sense of ownership and urgency
• Demonstrated ability to quickly learn and apply new technologies to support enterprise data solutions

Highly Desired

• Experience facilitating

technical workshops

with both technical and business stakeholders to drive solution alignment and value delivery

• Familiarity with

advanced analytics tools, programming languages, and data visualization platforms

• Experience with

data integration / EAI frameworks

Nice to Have

• Databricks certification
• Experience in

business analytics design and development

, including exposure to best-in-class platforms and tools

• Working knowledge of

business processes and enterprise systems

• Strong skills in

change management, communication, and business process improvement