Data Architect

Rockland Trust•Rockland, MA

12d•$140,000 - $160,000•Hybrid

About The Position

The Data Architect at Rockland Trust is responsible for designing, implementing, and managing the bank’s enterprise data architecture. The role defines how data is stored, integrated, accessed, and governed across systems to support business strategy, regulatory compliance, and data-driven decision-making. The position is based in Rockland with a hybrid model. The role develops enterprise data architecture frameworks and standards, data strategies, and scalable data structures for analytics and reporting. It leads the design of data warehouses, operational data stores, and logical and physical data models, and integrates data quality tools. It also establishes governance and compliance practices, maintains data quality, integrity, and security, and optimizes database performance and workloads. The Data Architect provides technical leadership to engineers, analysts, and stakeholders; collaborates with business units and external vendors; and evaluates and implements data platforms and tools. Technologies mentioned include MS SQL Server, Oracle, Snowflake, and Azure data platforms. Rockland Trust describes itself as a full-service commercial bank and financial services company founded in 1907 and headquartered in Massachusetts, serving individuals, families, and businesses throughout New England. Its benefits include competitive compensation with performance-based incentive awards, health and dental insurance, retirement plans, LTD and life insurance, paid vacation, day care reimbursement, tuition assistance, and a wellness program.

Requirements

Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field.
At least 5 years of experience in data architecture, database design, and data management; banking or financial services experience is preferred.
Strong analytical and problem-solving skills.
Ability to explain complex technical concepts in business-friendly language.
Excellent leadership and communication skills.
Experience with data modeling tools such as ERwin or ER/Studio.
Strong proficiency in SQL and experience with NoSQL databases.
Experience with Snowflake and modern data platforms.
Experience with cloud platforms such as Azure, AWS, or Google Cloud, and modern data architecture patterns.
Knowledge of data governance and compliance frameworks.

Nice To Haves

Experience in banking or financial services.

Responsibilities

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.
Lead the design and development of data warehouses, operational data stores, and logical and physical data models.
Integrate data quality tools and design scalable data structures for analytics and reporting.
Establish and enforce data governance frameworks, policies, and standards.
Ensure compliance with regulatory requirements, including GDPR, SOX, and CCPA.
Maintain data quality, integrity, and security across the organization.
Monitor database performance and data workloads.
Optimize systems for scalability, reliability, and efficiency, and recommend and implement performance improvements.
Provide technical leadership to data engineers, analysts, and other stakeholders.
Influence enterprise data initiatives and IT policies.
Collaborate with cross-functional teams, business units, and external vendors.
Evaluate, select, and implement data platforms and tools.
Stay current with emerging data technologies and industry trends.