Lead Data Engineer– Databricks Migration

Insight Global; Cleveland (OH); On-site; USD 170,000 - 230,000; Full time

Job summary

Insight Global is seeking a Lead Software Engineer to drive large-scale data platform modernization and migration initiatives. You will provide technical leadership for migrating legacy data and workloads to a Databricks-based cloud architecture, collaborating with product owners, architects, and engineers to design scalable solutions.

The role requires deep expertise in data engineering, cloud platforms, and modern software practices, with responsibility across the full migration lifecycle from

Qualifications

• 8+ years of software engineering experience with progressive technical leadership responsibilities.
• Experience leading large-scale data, application, or cloud migration projects.
• Strong experience developing solutions using Apache Spark (PySpark or Scala Spark).
• Experience building and optimizing ETL/ELT pipelines.
• Strong SQL development and database experience.
• Experience with Azure Databricks in a large enterprise environment.
• Experience migrating from traditional data warehouses to Databricks.
• Knowledge of Delta Lake, Unity Catalog, and Medallion architecture.
• Experience with Azure Data Factory, Synapse, or similar tools.
• Power BI knowledge is a plus.
• Experience leading Agile development teams.

Responsibilities

• Lead large-scale data platform modernization and migration initiatives.
• Provide technical leadership for migration of legacy data and workloads to cloud architecture on Databricks.
• Partner with Product Owners, Architects, Data Engineers, and stakeholders to design scalable solutions and set engineering standards.
• Guides team through the full migration lifecycle from assessment and planning to production deployment.

Skills

Leadership

Databricks

Spark PySpark/Scala

Data migration

CI/CD

SQL & Databases

Cloud platforms (Azure/AWS/GCP)

Distributed systems

Stakeholder communication

Agile development

Education

Bachelor's degree in CS/Engineering/IS

Tools

Azure Data Factory

Synapse

Delta Lake

Unity Catalog

Job description

Job Description

We are seeking a Lead Software Engineer to drive large-scale data platform modernization and migration initiatives. This individual will provide technical leadership for the migration of legacy data and application workloads to a modern cloud-based architecture built on Databricks. The ideal candidate will have deep expertise in data engineering, cloud technologies, platform migrations, and software development best practices.This role will partner with Product Owners, Architects, Data Engineers, and business stakeholders to design scalable solutions, establish engineering standards, and lead a team through the full migration lifecycle from assessment and planning through implementation and production deployment

Skills and Requirements

• 8+ years of software engineering experience with progressive technical leadership responsibilities.
• 3+ years of hands-on experience with Databricks.
• Proven experience leading large-scale data, application, or cloud migration projects.
• Strong experience developing solutions using Apache Spark (PySpark or Scala Spark).
• Experience building and optimizing ETL/ELT pipelines.
• Strong SQL development and database experience.
• Experience working with cloud platforms such as Azure, AWS, or GCP.
• Expertise with modern software development practices including CI/CD, source control, automated testing, and code reviews.
• Experience designing scalable, high-performance distributed systems.
• Strong stakeholder communication and leadership skills.
• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field.
• Azure Databricks experience in a large enterprise environment.
• Experience migrating from traditional data warehouse platforms to Databricks.
• Experience with Delta Lake, Unity Catalog, and Medallion architecture.
• Experience with Azure Data Factory, Synapse, or similar data integration tools.
• Knowledge of Power BI and enterprise analytics platforms.
• Experience leading Agile development teams.
• Exposure to data governance, security, and regulatory compliance frameworks.
• Databricks, Azure, or cloud certifications.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to [e-mail].