Data Architect

Overview

About Suffolk

Suffolk is a national enterprise that builds, innovates and invests. Suffolk is an end‑to‑end business that provides value throughout the entire project lifecycle by leveraging its core construction management services with vertical service lines that include real estate capital investment, design, self‑perform construction services, technology start‑up investment (Suffolk Technologies) and innovation research/development. Suffolk – America's Contractor – is a national company with more than $5.0 billion in annual revenue, 2,600 employees, and main offices in Boston (headquarters), New York City, Miami, West Palm Beach, Tampa, Estero, Dallas, Los Angeles, San Francisco, and San Diego.

Suffolk manages some of the most complex, sophisticated projects in the country, serving clients in every major industry sector, including healthcare, life sciences, education, gaming, transportation/aviation, government, mission‑critical and commercial. Suffolk is privately held and is led by founder, chairman and CEO John Fish. Suffolk is ranked #8 on ENR's list of "Top CM‑at‑Risk Contractors." For more information, visit  and follow Suffolk on Facebook, Twitter, Linked In, You Tube, and Instagram.

At Suffolk, we believe that our total rewards program should offer you and your family the support you need when it matters most. That's why we have created a program that provides employees with access to a wide variety of options that can be personalized to support you and your loved ones physically, emotionally, and financially.

Benefits include competitive salaries, auto allowances and gas cards for certain roles, access to market‑leading medical and emotional and mental health benefits, dental, and vision insurance plans, virtual care options for physical therapy and primary care, generous paid time off, 401(k) plan with employer match and access to expert financial resources, company‑paid and voluntary life insurance, tax‑deferred savings accounts, 10 backup daycare days each year, short‑ and long‑term disability, commuter benefits and more.

For more information, .

Role Summary

Suffolk is scaling its Data and AI team to deliver real‑time, predictive insights across the build lifecycle. We're hiring a hands‑on Data Architect to design, build, and operate the semantic layer, automated data quality controls (including AI‑assisted checks), lineage, and access patterns that make our data discoverable, trusted, secure, and agentic AI ready. Reporting to the Director of Data Management, this individual will create reusable models/metrics, embed governance as code, and ensure every data product meets targets for reliability, availability, and semantic interoperability.

Responsibilities

Evolve lakehouse and platform architecture

• Own the target architecture for Databricks on AWS (S3/EC2, Delta Lake, Unity Catalog, MLflow/Model Registry, Delta Live Tables) and the interfaces to Agentic AI stack/BI/IDE and downstream apps

• Design ingestion and serving patterns, data contracts, and API/SQL access layers for internal consumers and agentic use cases

• Plan platform evolution (governed multi‑workspace layout, environment separation, lineage/observability) and drive high‑impact upgrades and migrations with low downtime

• Champion IaC & CI/CD (e.g., Terraform + Git Hub Actions) for reproducible work spaces, catalogs, pipelines, and policies

Evolve enterprise data catalog, lineage & semantic layer

• Deploy and maintain data catalog across Databricks

• Build & evolve the semantic layer – design subject area models, define conformed dimensions and governed metrics, and expose them for BI, APIs, and AI agents

• Extract business rules currently embedded in dashboards/SQL and refactor them into reusable transformations, tests, and metric definitions

• Implement and maintain lineage, technical and business metadata, and documentation across Databricks Unity Catalog; ensure LLM‑friendly metadata for RAG and AI agents

• Lead scaling of the Master data (Project, Vendor, Budget, People etc.) and golden record rules

Implement automated data‑quality & reliability controls

• Embed rule‑based and ML anomaly tests into pipelines and…