Data Architect

Rockland Trust is a full-service commercial bank and financial services company committed to helping our neighbors reach their financial goals. Founded in 1907 and headquartered in Massachusetts, we proudly serve individuals, families, and businesses throughout New England with a strong emphasis on personal relationships, local decision making, and community impact.

With a broad range of banking, wealth management, and investment solutions, Rockland Trust combines the resources of a growing financial institution with the personalized service of a community bank. Our long-standing philosophy, Where Each Relationship Matters®, guides how we work with our customers, colleagues, and communities every day.

At Rockland Trust, our employees are at the heart of our success. We foster a collaborative, inclusive, and values driven culture that encourages professional growth, innovation, and work life balance. We are deeply committed to community involvement, financial education, and creating a workplace where individuals can build meaningful, long-term careers.

The Data Architect at Rockland Trust is responsible for designing, implementing, and managing the bank’s enterprise data architecture. This role defines how data is stored, integrated, accessed, and governed across systems to support business strategy, regulatory compliance, and data-driven decision-making. This role is based in Rockland with a hybrid model.

Responsibilities:

Enterprise Data Architecture

• Design and implement modern, enterprise-wide data architecture frameworks and standards
• Define how data is stored, integrated, accessed, and managed across systems
• Develop and maintain an enterprise data strategy aligned with business objectives

Data Modeling & Systems Design

• Lead the design and development of:
• Data warehouses (DW) and operational data stores (ODS)
• Logical and physical data models
• Integration with data quality tools
• Design scalable data structures to support analytics and reporting

Data Governance, Security & Compliance

• Establish and enforce data governance frameworks, policies, and standards
• Ensure compliance with regulatory requirements (e.g., GDPR, SOX, CCPA)
• Maintain high standards of data quality, integrity, and security across the organization

Performance & Optimization

• Monitor database performance and data workloads
• Optimize systems for scalability, reliability, and efficiency
• Recommend and implement performance tuning and improvement strategies