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Head of Data, Platform and Intelligence
hatch I.T.Head of Data defining North Star Data Strategy and building AI-native data platform at Babel Street. Overseeing data lifecycle, architecture, and collaboration across teams in Reston or Somerville.
Posted 4/24/2026full-timeReston • Massachusetts, Virginia • 🇺🇸 United StatesLead💰 $220,000 - $250,000 per yearWebsite
Tech Stack
Tools & technologiesCloudDistributed SystemsGoogle Cloud Platform
About the role
Key responsibilities & impact- Define the North Star Data Architecture
- Establish and evolve the target-state data architecture, aligning storage, compute, search, and access patterns into a unified platform
- Drive architectural clarity across warehouse, search, object storage, and real-time systems
- Ensure consistency in schemas, metadata, and governance frameworks across all data domains
- Build an AI-Native Data Foundation
- Design a data platform optimized for AI and agentic workloads, including: API-first, agent-callable data services
- Hybrid retrieval patterns (search + analytical + vector)
- Real-time and batch data unification
- Enable scalable support for LLMs, RAG pipelines, and intelligence workflows
- Own Data as a Product
- Establish a data-as-a-product operating model, enabling discoverable, reusable, and well-governed data assets
- Define and standardize data contracts, ownership models, and domain boundaries
- Translate platform capabilities into customer-facing data products and differentiators
- Lead Platform Rationalization and Evolution
- Rationalize and evolve the current ecosystem into a cohesive and cost-efficient architecture
- Lead phased, low-risk migrations and consolidations aligned to business priorities
- Balance short-term pragmatism with long-term architectural integrity
- Own Performance, Reliability, and Cost Economics
- Accountable for performance, scalability, and reliability of all data systems
- Establish clear unit economics for data (e.g., cost per query, cost per workload, storage efficiency)
- Implement strong observability, SLOs, and incident management practices
Requirements
What you’ll need- 10+ years of experience in data platforms, data engineering, or distributed systems
- Strong background working within multi-cloud or hybrid environments, including hands-on experience with Google Cloud Platform (GCP)
- Proven experience designing and evolving large-scale data platforms through major architectural transitions (e.g., warehouse, search, Lakehouse, or multi-cloud transformations)
- Deep expertise across multiple data paradigms, including:
- Analytical warehouses
- Search/index systems
- Object storage and distributed data systems
- Experience building platforms that support AI, ML, or agent-driven systems
- Familiarity with vector search, retrieval architectures, and modern AI data patterns
- Experience with graph-based data models, entity resolution, or knowledge graphs
- Strong communication skills and the ability to collaborate effectively across technical and non-technical teams.
- Experience operating in regulated, high-stakes, or mission-critical environments is strongly preferred.
- Bachelor’s degree in Computer Science, Engineering, or a related technical field required. Master’s degree or PhD preferred.
Benefits
Comp & perks- 🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account hatch I.T. Website LinkedIn All Job Openings 11 - 50 employees We are a specialty recruiting partner that scales engineering, product, and data teams for innovative and mission-driven technology startups and small businesses.Our flagship program, Scale is a customized Recruitment Process Outsourcing (RPO) hiring solution made for startup tech teams. We also offer Contract-To-Hire and Contingency Hiring, to support the needs of startups at every stage of growth. If you’re a startup or small business looking to grow your technical team, connect with hatch I.T. today: https://www.hatchit.io/hire/ Head of Data, Platform and Intelligence 🔥 1 hour ago 🏢🏡 Reston – Hybrid 💵 $220k - $250k / year ⏰ Full Time 🔴 Lead 📊 Data Scientist Apply Now Find Hiring Managers Customize resume for this job Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
- Define the North Star Data Architecture
- Establish and evolve the target-state data architecture, aligning storage, compute, search, and access patterns into a unified platform
- Drive architectural clarity across warehouse, search, object storage, and real-time systems
- Ensure consistency in schemas, metadata, and governance frameworks across all data domains
- Build an AI-Native Data Foundation
- Design a data platform optimized for AI and agentic workloads, including: API-first, agent-callable data services
- Hybrid retrieval patterns (search + analytical + vector)
- Real-time and batch data unification
- Enable scalable support for LLMs, RAG pipelines, and intelligence workflows
- Own Data as a Product
- Establish a data-as-a-product operating model, enabling discoverable, reusable, and well-governed data assets
- Define and standardize data contracts, ownership models, and domain boundaries
- Translate platform capabilities into customer-facing data products and differentiators
- Lead Platform Rationalization and Evolution
- Rationalize and evolve the current ecosystem into a cohesive and cost-efficient architecture
- Lead phased, low-risk migrations and consolidations aligned to business priorities
- Balance short-term pragmatism with long-term architectural integrity
- Own Performance, Reliability, and Cost Economics
- Accountable for performance, scalability, and reliability of all data systems
- Establish clear unit economics for data (e.g., cost per query, cost per workload, storage efficiency)
- Implement strong observability, SLOs, and incident management practices 🎯 Requirements
- 10+ years of experience in data platforms, data engineering, or distributed systems
- Strong background working within multi-cloud or hybrid environments, including hands-on experience with Google Cloud Platform (GCP)
- Proven experience designing and evolving large-scale data platforms through major architectural transitions (e.g., warehouse, search, Lakehouse, or multi-cloud transformations)
- Deep expertise across multiple data paradigms, including:
- Analytical warehouses
- Search/index systems
- Object storage and distributed data systems
- Experience building platforms that support AI, ML, or agent-driven systems
- Familiarity with vector search, retrieval architectures, and modern AI data patterns
- Experience with graph-based data models, entity resolution, or knowledge graphs
- Strong communication skills and the ability to collaborate effectively across technical and non-technical teams.
- Experience operating in regulated, high-stakes, or mission-critical environments is strongly preferred.
- Bachelor’s degree in Computer Science, Engineering, or a related technical field required. Master’s degree or PhD preferred. Apply Now 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score Similar Jobs Principal Data Scientist 🕒 January 7 Volkswagen Group 10,000+ employees 🚗 Transport Website LinkedIn All Job Openings Principal Data Scientist at Volkswagen Financial Services leading data science initiatives. Driving the company's mobility transformation with data-driven decision making. 🏢🏡 Reston – Hybrid ⏰ Full Time 🔴 Lead 📊 Data Scientist 🦅 H1B Visa Sponsor View More Data Science Jobs 🌐 Worldwide Built by Lior Neu-ner. I'd love to hear your feedback — Get in touch via DM or support@remoterocketship.com Search Search Jobs by country Search jobs by city Search jobs by job title Search entry-level jobs Search junior-level jobs Search senior-level jobs Search jobs by tech stack Search jobs by contract type Search remote internships Search remote part-time jobs Remote jobs Anywhere in the World Companies Hiring Anywhere in the World Companies Hiring Sales People Anywhere in the World Companies Hiring Software Engineers Anywhere in the World Resources Advice Tips for finding remote jobs Interview questions and answers Resume examples Cover letter examples Post a job Affiliates Privacy policy Terms of service Job board SEO course AI Apply Copilot OpenClaw job finder Jobs by Country Remote jobs anywhere in the world (Worldwide remote jobs) Remote jobs United States Remote jobs Australia Remote jobs Brazil Remote jobs Canada Remote jobs France Remote jobs Ireland Remote jobs Germany Remote jobs Netherlands Remote jobs Spain Remote jobs UK Popular Jobs Remote data analyst jobs Remote customer support jobs Remote executive assistant jobs Remote marketing jobs Remote product designer jobs Remote product manager jobs Remote project manager jobs Remote recruiter jobs Remote sales jobs Remote software engineer jobs Jobs by Type Remote full-time jobs Remote part-time jobs Remote contract jobs Remote internship jobs Remote entry-level jobs Remote jobs with no experience required Remote junior jobs (1-3 years of experience) Digital nomad jobs Remote jobs with no degree required Freelance remote jobs Temporary remote jobs Remote jobs hiring now Stay at home mom jobs
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Hard Skills & Tools
data architecturedata engineeringdistributed systemsdata platformsAI data patternsvector searchanalytical warehousesobject storagegraph-based data modelsentity resolution
Soft Skills
strong communication skillscollaborationleadershiporganizational skillsproblem-solving
Certifications
Bachelor’s degree in Computer ScienceBachelor’s degree in EngineeringMaster’s degreePhD