Banking Systems Data Engineer - Rockland Trust

Job Title: Banking & AI Data Engineer 

Location: Plymouth Technology or Remote 

Job Type: Full-Time

Rockland Trust Company is a leading financial institution dedicated to providing innovative banking solutions. We are seeking a highly skilled and experienced Banking Systems Data Engineer to join our dynamic team. This role is crucial in ensuring the integrity and efficiency of our data systems, supporting our mission to deliver exceptional financial services.

Job Summary: This position is responsible for designing, developing, and maintaining data systems and AI solutions that support our banking operations. This role requires expertise in FIS IBS or similar mid-size banking systems data architecture, Snowflake or similar data warehouse technology, physical and logical data modeling, and leading teams of peers in the development and delivery of user requirements analysis for reporting, analytics, AI-driven solutions and customer data integration to various surround and supporting systems.

Key Responsibilities:

• Data System Development: Design, develop, and maintain robust data systems using IBS banking data and Snowflake data warehouse technology.
• Data Modeling: Create, optimize and maintain physical and logical data models to support efficient data storage, retrieval, and analysis.
• User Requirements Analysis: Collaborate with stakeholders to gather and analyze requirements for reporting, analytics, and AI, ensuring data solutions meet business needs. Recommend advanced data integrations, modeling and AI as best suited to enhance and provide future state data and analytics architectures.
• Data Integration: Design, develop and implement data integration processes to ensure seamless data flow across systems and throughout downstream data consumption.
• Performance Optimization: Monitor and optimize data system performance, ensuring high availability, reliability and security.
• Data Quality Assurance: Implement data quality checks and validation processes to maintain data integrity. Coordinate data flows and integrated optimization with RTC’s Data Governance architecture and provide production integration archetypes for management of CDE consumption for all downstream data consumers.
• Reporting, Analytics and AI: Develop and maintain reporting, analytics and AI solutions to support business decision-making, design and provide data oversight for downstream ODS data models in business operations.
• Documentation: Create and maintain comprehensive documentation for data systems, processes, models and architectures.
• Collaboration: Work closely with cross-functional teams, including IT, business analysts, and data scientists, to deliver integrated data solutions. Support the IT Management team as required.
  • Proficiency in FIS IBS and Snowflake data warehouse technology.

Qualifications:

Education: Bachelor’s degree in Computer Science, Information Technology, or a related field.

Experience: Minimum of 6 years of experience in data engineering, with a focus on banking systems.

Technical Skills:

• Excellent knowledge of data warehouse and lake architecture design and implementation
• Strong knowledge of physical and logical data modeling.
• Experience with SQL and other database management systems.
• Familiarity with data integration tools and techniques.
• Proficiency in data analysis, machine learning, Gen-AI and reporting tools.
• Experience with big data engineering tools such Spark, DBT and Kafka
• Proficiency in setting up MLOps and Gen AI infrastructure
• Experience with design and deployment of AI-driven data quality and governance solutions
• Familiarity with implementation of data architectures that support embedded analytics and AI engines
• Knowledge of AI-powered data engineering tools for tasks such as data cleaning, transformation, and anomaly detection.

       Soft Skills:

• Excellent analytical and problem-solving skills.
• Strong communication and collaboration abilities.
• Detail-oriented with a focus on data accuracy and quality.
• Ability to work independently and as part of a team.
• Ability to work remotely while interacting with team members and constituents effectively and productively.

Preferred Qualifications:

• Experience with cloud-based data solutions and cloud native and hybrid data architectures.
• FIS IBS banking systems detailed data structures experience.
• Knowledge of data governance and compliance standards.
• Certification in data engineering or related fields.

Our goal is to offer our colleagues the most generous benefits package possible. We strive to provide colleagues with a comprehensive benefits package and an environment that supports a healthy work-life balance. Benefits include: Competitive compensation with performance incentive awards, Health Insurance, Dental Insurance, a 401K and DC Plan for your retirement, LTD & Life Insurance, Day Care Reimbursement, Tuition Assistance for graduate and undergraduate programs, an award-winning Wellness program and much more!

At Rockland Trust you'll find a respectful and inclusive environment where everyone is given the chance to succeed. We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.