Databricks Engineering Technical Specialist

PRI Technology

Charlotte, NC

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JOB DETAILS

SKILLS

AWS Lambda, Agile Programming Methodologies, Amazon Elastic Compute Cloud (EC2), Amazon Simple Storage Service (S3), Amazon Web Services (AWS), Atlassian JIRA, Automation, Best Practices, Career Counseling, Cloud Computing, Coaching, Communication Skills, Computer Programming, Computer Science, Continuous Deployment/Delivery, Continuous Improvement, Continuous Integration, Cost Control, Cross-Functional, Data Analysis, Data Management, Data Modeling, Database Administration, Database Programming, Database Technology, Distributed Computing, Emerging Technology, Financial Services, Fund Accounting, Information Technology & Information Systems, Information/Data Security (InfoSec), Leadership, Maintain Compliance, Mentoring, Onboarding, Oracle, People Management, Performance Management, Performance Modeling, Performance Tuning/Optimization, PostgreSQL, Production Control, Production Support, Python Programming/Scripting Language, Regulations, Regulatory Compliance, Regulatory Requirements, Relational Databases (RDBMS), SQL (Structured Query Language), Security Infrastructure, Software Development Lifecycle (SDLC), Team Lead/Manager, Team Player, Technical Leadership, Technical Strategy, Technical Support, Technical/Engineering Design, Test Plan/Schedule, Workforce Planning

LOCATION

Charlotte, NC

POSTED

30+ days ago

Full-time
Charlotte, NC

Responsibilities:
Technical & Strategic Leadership

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

People Management & Team Leadership

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

Delivery & Governance

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

Qualifications
Education & Experience

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

Technical Skills

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

Personal Qualities

Strong people leader with a coaching and development mindset
Strategic thinker with a bias toward execution and delivery
Excellent communicator able to engage both technical and non-technical stakeholders
High level of ownership, accountability, and professionalism
Comfortable operating in a fast-paced, global environment

About the Company

PRI Technology

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