Senior Databricks Engineer

We are seeking a highly skilled Senior Databricks Engineer to join our client’s innovative data engineering team in Charlotte, NC. This is a hands-on senior leader responsible for both technical delivery and people management. This role combines ownership of the Databricks-based enterprise data platform with direct management of a database engineering team, ensuring alignment between traditional database platforms and modern cloud-based data engineering solutions., * Provide technical leadership for Databricks-based data engineering and analytics solutions across multiple departments

• Lead the design and implementation of enterprise data pipelines using Databricks, Spark, and cloud-native services
• Own and drive cross-functional data initiatives from requirements through delivery and operationalization
• Partner with product, architecture, and business teams to define enterprise data strategy, roadmaps, and delivery plans
• Establish best practices for data modeling, performance optimization, cost management, security, and platform governance
• Ensure alignment between Databricks data pipelines and core database platforms supporting HFA IT
• Drive automation-first mindset for data ingestion, testing, deployment, and monitoring
• Evaluate emerging data technologies and provide recommendations for enterprise adoption
• Line manage the database engineering team, including performance management, coaching, and career development
• Set clear objectives and expectations for team members aligned to departmental and enterprise goals
• Build a high-performing, collaborative team culture focused on quality, ownership, and continuous improvement
• Provide technical guidance, design reviews, and mentoring to engineers across database and data engineering disciplines
• Support workforce planning, hiring, onboarding, and skills development for the team
• Act as an escalation point for operational and delivery issues related to databases and data platforms
• Own delivery outcomes for assigned data initiatives, ensuring timelines, quality, and operational readiness
• Support the full SDLC (design, development, testing, deployment) for data and database solutions
• Ensure compliance with enterprise standards, audit requirements, and regulatory expectations
• Collaborate with global teams and third-party vendors where applicable

• Bachelor’s degree in Computer Science, Information Systems, or equivalent practical experience
• 8-10 years of total IT experience with strong focus on data engineering, databases, and platform development
• Proven experience managing technical teams in an enterprise environment
• Demonstrated ability to balance hands-on technical contribution with people leadership responsibilities
• Strong hands-on experience with Databricks (Spark, Delta Lake, notebooks, workflows)
• Solid background in database technologies (PostgreSQL/Oracle or similar enterprise RDBMS)
• Experience designing and operating large-scale data pipelines and distributed systems
• Strong programming skills in Python; strong SQL required
• Cloud experience (AWS preferred), including S3, EC2, RDS, Lambda, and orchestration services
• Experience with CI/CD pipelines, automation, monitoring, and production support for data platforms
• Knowledge of Agile and SDLC methodologies
• Familiarity with collaboration tools such as JIRA and Confluence

Nice to Have

• Financial services or fund accounting experience
• Experience with data governance, security, and regulatory controls
• Cloud or Databricks-related certifications

Pay: $120,000.00 - $140,000.00 per year