Senior Data Architect

Northeast Bank•Boston, MA

12h•$150,000 - $170,000•Hybrid

About The Position

This is a unique opportunity for a strong technologist to be a founding member of the team building a strategic data and AI platform from scratch for a well-established bank. The Senior Data Architect will be a technically strong, hands-on expert responsible for the design, development, deployment and management of our enterprise data and AI infrastructure. This high-impact role requires deep expertise in modern data warehousing, cloud services, contemporary AI technologies, and a solid understanding of the banking/financial services domain to ensure robust, compliant, and efficient data operations. The ideal candidate will also play a key role in driving the adoption of AI solutions and managing our reporting tools, providing essential support and insights to business users. This position is part of a very lean software engineering team, requiring a versatile individual who can operate across multiple technological and logistical facets of our data and AI platform. The ideal candidate should have an entrepreneurial mindset and be able to operate independently with minimal oversight.

Requirements

Minimum of 8+ years of hands-on experience in data engineering and software development
Proven experience working in the banking or financial services industry.
6+ years hands-on experience and advanced-level expertise in Snowflake data warehousing and data platform management.
4+ years hands-on experience and advanced-level expertise in AWS cloud services and data-related technologies.
Proficiency in reporting and BI tools such as Sigma or Omni.
Experience with programming languages like Python and SQL.
Strong communication skills with the ability to bridge technical and non-technical stakeholders.
Excellent problem-solving and analytical skills.
Ability to work independently and lead complex data projects

Nice To Haves

Experience designing and implementing AI/ML solutions, using AI services like Snowflake Cortex, AWS Bedrock and other modern GenAI models is highly preferred
working knowledge of core banking systems like Jack Henry and Loan Origination Systems like eNcino

Responsibilities

Lead the design, development, and maintenance of scalable and reliable data pipelines and data warehouse solutions using Snowflake and AWS technologies.
Design and implement efficient database models, schemas and structures.
Work closely with Business to understand business problems, analyze existing state and data, design and implement strategic Data and AI solutions, and manage the transition.
Translate Business and Product entities to
Administer and manage the Snowflake environment, including performance tuning, cost optimization, user access control, user onboarding/offboarding, and workload management to ensure optimal performance and security.
Design, build and implement modern AI solutions (both in-house and third-party), integrated with Snowflake Cortex, Amazon Bedrock and other AI/ML models.
Implement data governance, security protocols, encryption techniques, and access control policies in compliance with banking industry regulations.
Work closely with cross-functional teams, including security, IT, and business stakeholders, to gather requirements, troubleshoot issues, and ensure seamless data operations.
Drive continuous improvement in data management processes, documentation, and data quality metrics, ensuring high data integrity and reliability.
Manage and support reporting and business intelligence (BI) tools, specifically Sigma, and platforms.
Configure custom reports.
Provide expert support to end-users on reporting tools, data accessibility, and data best practices, empowering them to extract insights and make data-driven decisions.
Successfully pass technical and regulatory examinations required by the Company.