---
title: 'Data Platform Architect at Hatch IT'
canonical: 'https://feeny.ai/job/data-platform-architect-hatch-it-falls-church-tht2rpa89r21'
type: 'job'
last_seen: '2026-09-10'
---

# Data Platform Architect at Hatch IT

- **Company:** Hatch IT
- **Location:** Falls Church, VA
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-08-19
- **Last confirmed live:** 2026-09-10
- **Apply:** https://jobs.lever.co/hatchit/924025e0-4fbb-4908-ac8f-7f58eef1c485

## Job description

hatch I.T. is partnering with Expression to find a Data Platform Engineer. See details below: About The Role: Expression is seeking an experienced Data Platform Architect to provide architectural guidance, technical standards, and operational support for teams delivering secure, scalable data, analytics, and AI/ML solutions in mission environments. The Data Platform Architect will work across engineering, data science, analytics, platform, and mission teams to guide implementation in Databricks and Palantir Foundry. This role will help delivery teams structure data pipelines, data products, analytics and ML workflows, and platform assets so solutions are consistent, reusable, governed, supportable, and production-ready. The successful candidate will provide hands-on guidance spanning data integration, DataOps, DevOps, MLOps, governance, security, compliance, performance optimization, and platform operations while helping teams move solutions from prototypes into reliable production environments. Location and Clearance: Clearance: Secret/Top Secret clearance required Location: Falls Church, VA About the Company: Founded in 1997 and headquartered in Washington DC, Expression provides data fusion, data analytics, software engineering, information technology, and electromagnetic spectrum management solutions to the U.S. Department of Defense, Department of State, and national security community. Expression’s “Perpetual Innovation” culture focuses on creating immediate and sustainable value for their clients via agile delivery of tailored solutions built through constant engagement with their clients. Expression was ranked #1 on the Washington Technology 2018's Fast 50 list of fastest growing small business Government contractors and a Top 20 Big Data Solutions Provider by CIO Review.

Responsibilities:

- Provide hands-on architectural guidance to teams implementing data pipelines, analytics workflows, data products, and AI/ML capabilities in Databricks and Palantir Foundry.
- Guide selection and implementation of platform-native capabilities for data ingestion, transformation, orchestration, model execution, analytics, and data-product delivery.
- Advise teams on appropriate use of Databricks, Foundry, and integrated cross-platform architectures.
- Guide the transition of prototypes and notebook-based solutions into reliable, maintainable production workflows.
- Establish and maintain technical standards for project structure, code organization, pipeline design, workflow orchestration, testing, metadata, lineage, documentation, and platform implementation.
- Develop reusable templates, reference architectures, and implementation patterns that improve consistency and accelerate delivery.
- Promote scalable approaches including medallion architecture, governed data publishing, reusable transformation logic, and shared analytics and ML components.
- Conduct technical reviews and provide actionable guidance to improve scalability, maintainability, reliability, and supportability.
- Guide CI/CD implementation for jobs, pipelines, notebooks, packaged code, models, and data products.
- Establish operational practices for deployment, environment promotion, monitoring, alerting, rollback, release management, observability, lineage, and data-quality validation.
- Promote reproducible MLOps practices for model training, validation, packaging, registration, deployment, monitoring, batch inference, and lifecycle management using MLflow, Databricks workflows, and related capabilities.
- Design scalable ML inference approaches supporting production workloads and establish monitoring for model performance, data drift, and system health.
- Support self-service ML capabilities that enable data scientists to efficiently deploy and monitor models.
- Define integration patterns for onboarding data sources, managing schema evolution, and connecting Databricks and Foundry with enterprise systems, applications, data warehouses, streaming platforms, APIs, and BI tools.
- Guide implementation of secure access controls, governed data sharing, metadata management, data catalogs, lineage, traceability, and audit-ready workflows.
- Establish data-quality standards and automated testing approaches for analytical and ML workloads.
- Partner with stakeholders to define data definitions, business logic, governance requirements, and compliant handling of structured and unstructured data.
- Advise teams on Spark optimization, workload design, workflow dependencies, storage and compute utilization, and other platform-performance considerations.
- Identify and help resolve architecture, integration, reliability, and performance issues affecting production jobs, data products, and operational analytics.
- Design data models supporting machine learning, analytics, and business intelligence requirements, including integrations with Tableau, Power BI, and Qlik Sense.
- Build and support integrations with MAVEN Smart Systems/Palantir Foundry environments and other enterprise systems.
- Collaborate with engineers, data scientists, BI analysts, product managers, platform and security teams, and mission stakeholders to align architecture decisions with delivery priorities.
- Participate in design sessions, technical reviews, sprint activities, demonstrations, and cross-team problem solving.
- Maintain technical documentation supporting implementation consistency, reuse, operational handoff, and long-term supportability.

Qualifications:

- 5+ years of technical experience, including 3+ years designing or implementing production solutions on Databricks, Palantir Foundry, or similar modern data platforms.
- Strong experience with Python, SQL, PySpark, and Spark SQL for scalable data-processing workflows.
- Experience with Palantir Foundry or comparable enterprise analytics platforms, including pipeline development, governed data delivery, lineage, and operational analytics.
- Experience designing and operationalizing data pipelines, transformation workflows, and data products supporting structured and unstructured data.
- Hands-on knowledge of Databricks platform capabilities such as Delta Lake, Workflows, MLflow, Unity Catalog, or similar platform-native services.
- Familiarity with DataOps, DevOps, and MLOps practices, including CI/CD, version control, testing, deployment, monitoring, and operational support.
- Strong understanding of data quality, metadata management, lineage, access control, and governance within secure or regulated environments.
- Experience troubleshooting architecture, integration, performance, and operational issues across distributed data platforms.
- Ability to establish technical standards, guide architecture and implementation decisions, and clearly communicate technical concepts to technical and non-technical stakeholders.

Preferred Qualifications:

- Deep Databricks expertise, including medallion architecture, Delta optimization, workload tuning, cluster and job strategy, and production ML enablement.
- Experience implementing solutions in Palantir Foundry, including data-pipeline organization, governed data assets, operational workflows, and integrations.
- Experience with Git-based CI/CD pipelines, infrastructure and deployment tooling, and cloud-native platform services.
- Experience supporting the ML lifecycle, including model packaging, registration, deployment, monitoring, and inference-workflow integration.
- Knowledge of enterprise data integration, API-based data exchange, and secure cross-platform interoperability.
- Experience with Advana/MAVEN Smart System (Palantir Foundry) or similar DoD enterprise analytics environments.
- Prior experience supporting Department of Defense, Intelligence Community, or other Federal mission environments.

Benefits: Expression offers competitive salaries and benefits, such as: 401k matching PPO and HDHP medical/dental/vision insurance Education reimbursement Complimentary life insurance Generous PTO and holiday leave Onsite office gym access Commuter Benefits Plan

## About Hatch IT

## Company Overview
- **One-liner**: Hatch I.T. is a specialized tech recruiting partner that connects mission-driven startups with engineering, data, and product talent through flexible hiring models.
- **Entity Type**: Private (Bootstrapped)
- **Headquarters**: Tysons, Virginia, United States
- **Founded**: 2012
- **Founders**: Tim Winkler (Founder & CEO)

## Core Business
- Primary industry: Staffing and Recruiting, with a focus on technology roles for startups in defense, healthcare, AI, cybersecurity, and space.
- Target customers: B2B – early-stage and high-growth startups, especially those with a national security, healthcare, or dual-use mission.
- Mission or purpose statement: "Where talent meets mission" – connecting companies with skilled talent who are deeply aligned with the company’s mission and values.

## Products & Services
- **RPO / Embedded Recruiting**: Dedicated recruiters embedded in the client’s culture, managing full-cycle hiring from sourcing to onboarding.
- **Contingency Hiring**: Pay-only-when-you-hire model for hard-to-fill roles.
- **Contract-to-Hire**: Evaluate talent on the job before committing to a full-time hire.
- **Executive Search**: Finding leadership for mission-driven startups.
- **Scale**: Technical consulting and recruiting services for high-growth startups.
- **Stride**: Technical strategy and consulting for early-stage startups.
- **hatchpad**: An online community platform for startup technologists to network, learn, and advance their careers.

## Market Standing
- **Valuation**: Not publicly available (no disclosed funding rounds).
- **Key Metric**: 20 employees (down 12% YoY); 94% 1-year retention rate; 28 days average time to hire.
- **Notable Investors/Partners**: No external investors identified. Partners include startups across defense, healthcare, and cyber sectors.
- **Growth Signals**: Active hiring for 5+ roles (Senior Data Engineer, Senior Software Engineer, etc.) with a 25% monthly increase in job postings; expanding remote/hybrid options; offices in the US and distributed team across 6 countries.

## Competitive Advantages
- Specialized focus on mission-driven startups (defense, national security, healthcare, AI) – a niche that traditional staffing firms often overlook.
- Flexible pricing and engagement models (contingency, contract-to-hire, RPO) tailored to startup budgets.
- High retention rates (94%) and fast hiring cycles (28 days) demonstrate effective matching.
- Proprietary community (hatchpad) and content (The Hatch Pad newsletter) to attract and engage technologists.

## Strategic Focus
- Deepen partnerships within defense, healthcare, AI, and cybersecurity verticals.
- Scale the hatchpad community to become a go-to resource for startup technologists.
- Maintain a distributed remote/hybrid workforce to access talent globally while supporting clients primarily in the Washington D.C. metro area.

## Why Work Here
- **Culture**: Emphasis on mission alignment, relational (not transactional) approach, and collaborative small-team environment.
- **Work Policy**: Hybrid and remote roles available depending on position; some on-site roles in Washington, DC, Arlington, VA, Reston, VA, and Somerville, MA.
- **Perks & Engineering Culture**: Not extensively documented, but employee reviews on LinkedIn rate Work-Life, Compensation, and Culture all at 5.0/5.0 (3 reviews). The company invests in professional community through hatchpad.
- **Team**: Small (20–25 employees), with a high proportion of HR and recruiting specialists. Distributed across the US, South Africa, Canada, Romania, Bangladesh, and the Philippines.

## Sources
1. [hatchit.io](https://www.hatchit.io/)
2. [LinkedIn - hatch I.T.](https://www.linkedin.com/company/hatch-it)
3. [Built In - hatch I.T.](https://builtin.com/company/hatch-it)
4. [Lever careers page - Hatch IT](https://jobs.lever.co/hatchit)
5. [The Org - hatch IT](https://theorg.com/org/hatch-it)

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