IT Technical Specialist - Databricks

The Citco Group•Charlotte, NC

19d

About The Position

Since the 1940s Citco has provided specialist financial services to alternative investment funds, investors, multinationals and private clients worldwide. With over 6,000 employees in 45 countries we pioneer innovative solutions that meet our clients’ evolving needs, and deliver exceptional service. Our continuous investment in learning means our people are among the best in the industry. And our corporate social responsibility programs provide meaningful and fulfilling work in the community. A career at Citco isn’t just a job – it’s an opportunity to excel in an environment that genuinely supports your personal and professional development. About the department: Hedge Fund Accounting IT (HFA IT) department manages the core accounting platform( Æxeo ®) and datawarehouse within Citco. The platform is used by clients globally and is the first true straight-through, proprietary front-to-back solution for hedge funds that uses a single database for all activities including order capture, position and P&L reporting and accounting. As part of a strategic enterprise investment in Databricks technology, HFA IT is expanding its data engineering and analytics capabilities to support different business departments. The position reports to the IT Development Manager. About the Role: The Senior Databricks Engineering Technical Specialist 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. Your Role: 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

Requirements

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
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

Nice To Haves

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

Responsibilities

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

Benefits

A challenging and rewarding role in an award-winning global business.
Opportunities for personal and professional career development.
Great working environment, competitive salary and benefits, and opportunities for educational support.
Be part of an industry leading global team, renowned for excellence
Your well-being is of paramount importance and central to our success here at Citco.
Citco offers a comprehensive and competitive total rewards package to support your career success and personal needs.
Your base salary will be determined by several factors such as the role, experience, skillset, market conditions, etc.
Furthermore, qualifying positions can participate in an annual discretionary bonus pool based on company profitability and individual contributions.
Our comprehensive benefits package includes medical, dental, and vision coverage, short and long-term disability benefits, a retirement savings plan, tuition reimbursement, mental health and wellness support, parental leave, and more.
Additional details about our total rewards package will be shared during the hiring process.