Jobs and Careers

Senior Data & Platform Engineer

GID

United States, United Statesfull_timeVerifiedPosted 13 Mar 2026

💰 $200,000/yr($175,000/yr – $200,000/yr)

About the role

Senior Data & Platform Engineer | GID - Boston, MA

This is a remote/WFH position; however, you must live in one of the states where we currently operate [1].

GID is a privately-held, vertically-integrated real estate company that owns, operates, and/or manages a portfolio of multifamily and industrial assets, and develops multifamily and mixed-use projects across the United States. The firm also operates a credit platform that aims to provide commercial real estate debt solutions for institutional borrowers. With corporate offices in Atlanta, Boston, Dallas, Dubai, New York and San Francisco, GID is an experienced real estate investor and manager supported by an integrated operating platform and has 60+ years of experience across multiple asset classes. Learn more about GID at www.gid.com.

DESCRIPTION:

The Senior Data & Platform Engineer is responsible for the day‑to‑day technical execution, reliability, and evolution of GID’s enterprise data platform. This role ensures the data foundation is scalable, secure, cost‑optimized, and ready to power analytics, AI, operational automation, and internal applications. The role spans hands‑on engineering, platform ownership, standards development, and technical leadership to accelerate data driven decision making across the organization. The Senior Data & Platform Engineer will embrace our company value of accountability, inclusiveness, energizing and courageousness. RESPONSIBILITIES:

Platform Ownership & Architecture
- Own design architecture, reliability, and performance of the enterprise data platform—including ingestion, storage, processing, orchestration, and consumption layers.
- Implement and maintain modern data stack components (e.g., Snowflake, DBT, orchestration frameworks, metadata tools, quality frameworks).
- Ensure platform scalability, availability, security posture, and cost efficiency.

Pipeline Engineering & Data Products
- Build and maintain analytics‑ready and AI‑ready data pipelines, transformation models, semantic layers, and shared data services.
- Develop and execute a unified and forward-looking vision for data products and engineering.
- Set foundation for AI use cases with implementation of semantic layer, context graphs, vector DBs, and stay current with the latest best practices.
- Design and implement reusable data assets, domain models, and standardized transformation patterns.

Governance, Quality, and Controls
- Establish and enforce standards for data quality, data contracts, observability, lineage, and metadata management.
- Implement access controls, RBAC, PII protection, and compliance with privacy regulations (GDPR, CCPA, internal retention policies).
- Partner with data governance to establish stewardship practices, certified datasets, and SLA expectations.

Collaboration & Delivery
- Partner with application engineering, data scientists, data analytics units to develop data products that unlock enterprise value.
- Translate business requirements into scalable data architecture and reusable technical solutions.
- Drive technical prioritization, sprint planning, and execution of the platform roadmap.

Leadership & Team Development
- Mentor data engineers and act as the principal technical lead for engineering best practices.
- Introduce modern engineering patterns.
- Create documentation standards, operational runbooks, and incident response processes.

QUALIFICATIONS

7–10+ years in data & analytics engineering, platform engineering, data architecture or related technical fields.
Proven experience designing and operating modern cloud data platforms, especially Snowflake and DBT.
Strong understanding of Snowflake platform including advanced Snowflake features and Microsoft Azure, including data services, security and cost governance.
Hands‑on expertise with building data pipelines using tools such as Azure Data Fac