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Senior Data Architect Jobs in Reston, VA (NOW HIRING)

SteerBridge

Sr. Data Architect

Vienna, VA

$155K - $180K/yr

Position Overview SteerBridge is seeking a Senior Data Architect to lead the design and evolution of enterprise-level data ecosystems. You will be responsible for architecting scalable, secure, and ...

SteerBridge

Sr. Data Architect

Vienna, VA

$67.50 - $90.25/hr

Position Overview SteerBridge is seeking a Senior Data Architect to lead the design and evolution of enterprise-level data ecosystems. You will be responsible for architecting scalable, secure, and ...

System One

Senior Data Architect (onsite)

Washington, DC · On-site

$76.25 - $102/hr

Senior Data Architect Washington, DC - onsite US citizenship required per government contact Must be able to obtain Public Trust clearance Type: Multi-year Contract Open to W2 and C2C Deadline to ...

System One

Senior Data Architect (onsite)

Washington, DC · On-site

$76.25 - $102/hr

Senior Data Architect Washington, DC - onsite ship required per government contact Must be able to obtain Public Trust clearance Type: Multi-year Contract Open to W2 and C2C Deadline to apply: July ...

SteerBridge

Sr. Data Architect

Vienna, VA · On-site

$67.50 - $90.25/hr

We are seeking a Senior Data Architect to lead the design and evolution of enterprise-level data ecosystems. You will be responsible for architecting scalable, secure, and high-performance data ...

System One

Senior Data Architect (onsite)

Washington, DC · On-site

$76.25 - $102/hr

Senior Data Architect Washington, DC - onsite US citizenship required per government contact Must be able to obtain Public Trust clearance Type: Multi-year Contract Open to W2 and C2C Deadline to ...

System One

Senior Data Architect (onsite)

Washington, DC · On-site

$76.25 - $102/hr

Senior Data Architect Washington, DC - onsite US citizenship required per government contact Must be able to obtain Public Trust clearance Type: Multi-year Contract Open to W2 and C2C Deadline to ...

System One

Senior Data Architect (onsite)

Washington, DC · On-site

$76.25 - $102/hr

Senior Data Architect Washington, DC - onsite US citizenship required per government contact Must be able to obtain Public Trust clearance Type: Multi-year Contract Open to W2 and C2C Deadline to ...

System One

Senior Data Architect (onsite)

Washington, DC · On-site

$76.25 - $102/hr

Senior Data Architect Washington, DC - onsite US citizenship required per government contact Must be able to obtain Public Trust clearance Type: Multi-year Contract Open to W2 and C2C Deadline to ...

System One

Senior Data Architect (onsite)

Washington, DC · On-site

$76.25 - $102/hr

Senior Data Architect Washington, DC - onsite US citizenship required per government contact Must be able to obtain Public Trust clearance Type: Multi-year Contract Open to W2 and C2C Deadline to ...

CACI International, Inc.

SME Data Architect

Ashburn, VA · On-site

$65.25 - $83.75/hr

Senior Data Architect - CACI Agile Solution Factory (ASF) The Opportunity: Join CACI's Agile Solution Factory (ASF) -a leader in delivering secure, modernized, and data-driven solutions for critical ...

MetroStar

Sr. Data Architect III (6550)

Washington, DC · Hybrid

$174K - $202K/yr

As a Sr. Data Architect III , you'll lead secure, scalable data architecture for enterprise security platforms in classified, enclave-based environments. The role designs data pipelines, storage, and ...

Accenture Federal Services

Senior Data Architect

Arlington, VA · On-site

$77.25 - $103.50/hr

The Data Architect will be responsible for designing and governing the entire data ecosystem. The architect will establish the enterprise data model, define standards for data storage (e.g., data ...

Custom Software Systems Inc.

Data Architect

Washington, DC · On-site

$150K - $175K/yr

The Senior Data Architect/Engineer will be responsible for designing and implementing enterprise data architectures, developing robust data integration and pipeline solutions, and optimizing data ...

CACI

SME Data Architect with Security Clearance

Ashburn, VA · On-site

$65.25 - $83.75/hr

Senior Data Architect - CACI Agile Solution Factory (ASF) The Opportunity: Join CACI's Agile Solution Factory (ASF)-a leader in delivering secure, modernized, and data-driven solutions for critical ...

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All JobsData Architect JobsSenior Data Architect JobsSenior Data Architect Jobs in Reston, VA

Senior Data Architect information

See Reston, VA salary details

$41

$78

$107

How much do senior data architect jobs pay per hour?

As of Jul 21, 2026, the average hourly pay for senior data architect in Reston, VA is $78.43, according to ZipRecruiter salary data. Most workers in this role earn between $67.26 and $90.05 per hour, depending on experience, location, and employer.

What does a Senior Data Architect do?

A Senior Data Architect is responsible for designing, creating, and managing an organization's data infrastructure and strategy. They ensure that data is stored, organized, and accessed efficiently, supporting business goals and analytics needs. Their role often includes selecting appropriate database technologies, defining data models, setting data governance policies, and ensuring security and compliance. Senior Data Architects also collaborate with IT teams, data scientists, and business stakeholders to align data solutions with company objectives.

How does a Senior Data Architect typically collaborate with other teams within an organization?

A Senior Data Architect regularly works with cross-functional teams, including data engineers, business analysts, software developers, and IT leadership. They serve as the bridge between business requirements and technical implementation, ensuring data models and architecture align with organizational goals. Effective collaboration is key, as they often lead design sessions, review data standards, and provide guidance on best practices. This role requires strong communication skills to translate complex technical concepts into actionable plans for both technical and non-technical stakeholders.

What are the key skills and qualifications needed to thrive as a Senior Data Architect, and why are they important?

To thrive as a Senior Data Architect, you need deep expertise in data modeling, database design, and data integration, typically supported by a degree in computer science or a related field. Mastery of modern database platforms (e.g., SQL, NoSQL), cloud data services (like AWS, Azure, or Google Cloud), and relevant certifications such as CDMP or AWS Certified Data Analytics are commonly required. Exceptional problem-solving, stakeholder communication, and leadership skills set top performers apart in this role. These skills ensure robust, scalable data architectures that align with business goals and enable effective decision-making.

What is the difference between Senior Data Architect vs Data Engineer?

AspectSenior Data ArchitectData Engineer
CredentialsBachelor's/Master's in CS, Data Science, or related; certifications like AWS, Azure, or GCPBachelor's in CS, Software Engineering, or related; certifications in cloud platforms or data tools
Work EnvironmentDesigning data systems, creating architecture frameworks, collaborating with stakeholdersBuilding, maintaining, and optimizing data pipelines and infrastructure
Industry UsageUsed across industries for data strategy and architecture planningCommonly employed in data pipeline development and data management tasks

The Senior Data Architect focuses on designing and overseeing data systems and architecture, ensuring data solutions align with business needs. In contrast, Data Engineers primarily build and maintain the data pipelines and infrastructure necessary for data processing. Both roles require similar technical credentials and often work closely, but their core responsibilities differ in scope and focus.

What are the most commonly searched types of Data Architect jobs in Reston, VA? The most popular types of Data Architect jobs in Reston, VA are:
What are popular job titles related to Senior Data Architect jobs in Reston, VA? For Senior Data Architect jobs in Reston, VA, the most frequently searched job titles are:
What job categories do people searching Senior Data Architect jobs in Reston, VA look for? The top searched job categories for Senior Data Architect jobs in Reston, VA are:
What cities near Reston, VA are hiring for Senior Data Architect jobs? Cities near Reston, VA with the most Senior Data Architect job openings:
Senior Data Architect jobs near you
Infographic showing various Senior Data Architect job openings in Reston, VA as of July 2026, with employment types broken down into 94% Full Time, 3% Part Time, and 3% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $163,129 per year, or $78.4 per hour.

Sr. Data Architect

SteerBridge

Vienna, VA

$155K - $180K/yr

Full-time

Re-posted 24 days ago

Job description

SteerBridge is a modern technology company delivering innovative, mission‑focused solutions to the U.S. Government and private sector. Leveraging deep expertise in federal acquisition, digital transformation, and emerging technologies, we deliver agile, commercial‑grade capabilities that accelerate operational effectiveness and drive measurable mission success.

At the core of SteerBridge is our people—especially the veterans whose leadership, problem‑solving mindset, and commitment to excellence elevate every project we support. We don’t simply hire exceptional talent; we cultivate it, creating meaningful career pathways for veterans, military spouses, and professionals who share our passion for advancing technology and strengthening the missions we serve.

Position Overview

SteerBridge is seeking a Senior Data Architect to lead the design and evolution of enterprise-level data ecosystems. You will be responsible for architecting scalable, secure, and high-performance data infrastructures that support mission-critical aviation sustainment. This is a "player-coach" role that requires high-level strategic planning alongside hands-on engineering execution.

Key Responsibilities

Architecture & Design: Design conceptual, logical, and physical data models for complex federal environments. Lead the transition from legacy on-premises systems to modern, cloud-native (AWS/GCP) data platforms.

Pipeline Development: Architect and oversee the build of automated ETL/ELT pipelines using Python, SQL, and PySpark to ingest and transform unstructured and structured data.

Cloud Data Warehousing: Implement and optimize enterprise data warehouses using tools like AWS Redshift, Google BigQuery, AWS Glue, and Databricks.

Governance & Compliance: Establish data governance frameworks, metadata management, and data lineage in alignment with federal standards (HIPAA, FHIR, NIST).

Performance Optimization: Conduct index/partition design, query tuning, and sharding strategies to ensure high availability and scalability for real-time analytics.

AI/ML Support: Design data architectures that facilitate AI/ML initiatives, including model training pipelines and real-time inference in production environments.

Leadership: Mentor a team of data engineers, enforce software engineering best practices (CI/CD, unit testing, documentation), and serve as a technical bridge between stakeholders and delivery teams.

Required Qualifications
  • Must be a U.S. Citizen.
  • Masters’s Degree or Above in Systems Engineering, Computer Science or related field.
  • An active security clearance or the ability to obtain one is required.
  • Minimum 6+ years of experience to include:
    • Experience in data management, utilizing advanced analytics tools and platforms and Python.
    • Experience with Data Warehousing consulting/engineering or related technologies (Redshift, Databricks, BigQuery, OADW, Apache Hive, Apache Lucene).
    • Experience in scripting, tooling, and automating large-scale computing environments.
    • Extensive experience with major tools such as Python, Pandas, PySpark, NumPy, SciPy, SQL, and Git; Minor experience with TensorFlow, PyTorch, and Scikit-learn.
    • Compliance: Deep understanding of data security and federal compliance requirements.
  • Data Architecture and Design
    • Skills:
      • Data modeling (conceptual, logical, and physical)
      • Database schema design
      • Understanding of different database paradigms (relational, NoSQL, graph databases, etc.)
      • ETL (Extract, Transform, Load) processes and tools
      • Experience    with   modern   data    warehousing solutions  (e.g.,   Redshift, Snowflake, BigQuery)
      • Understanding of dimensional modeling (star/snowflake schemas) and data vault techniques.
      • Experience designing for both OLTP and OLAP workloads.
      • Familiarity with metadata-driven design and schema evolution in data systems.
      • Experience defining data SLAs and lifecycle management policies. 
      • Project Experience: Designing and implementing scalable data architectures that support business intelligence, analytics, and machine learning workflows.
  • Data Pipeline Development
    • Skills:
      • Proficiency in tools like Apache Kafka, Airflow, Spark, Flink, or NiFi
      • Experience with cloud-based data services (AWS Glue, Google Cloud Dataflow, Azure Data Factory)
      • Real-time and batch data processing
      • Automation and monitoring of data pipelines
      • Strong understanding of incremental processing, idempotency, and backfill strategies.
      • Knowledge of workflow dependency management, retries, and alerting.
      • Experience writing modular, testable, and reusable Python-based ETL code.
      • Project Experience: Leading the development of highly available, fault-tolerant, and scalable data pipelines, integrating multiple data sources, and ensuring data quality.
  • Cloud Platforms and Services
    • Skills:
      • Expertise in cloud environments (AWS, GCP, Azure)
      • Understanding of cloud-based storage (S3, Blob Storage), databases (RDS, DynamoDB), and compute resources
      • Implementing cloud-native data solutions (Data Lake, Data Warehouse, Data Mesh)
      • Experience with cost monitoring and optimization for data workloads.
      • Familiarity with hybrid and multi-cloud architectures.
      • Understanding of serverless data patterns (e.g., Lambda + S3 + Athena, Cloud Functions + BigQuery).
      • Project Experience: Migrating legacy data infrastructure to the cloud or developing new data platforms using cloud services, with a focus on cost efficiency and scalability.
  • Big Data Technologies
    • Skills:
      • Experience with big data ecosystems (Hadoop, HDFS, Hive, Spark)
      • Distributed computing, parallel processing, and handling petabyte-scale data
      • Tools for querying large datasets (Presto, Athena)
      • Understanding of lakehouse frameworks (Delta Lake, Iceberg, Hudi).
      • Familiarity with data compaction, schema evolution, and ACID guarantees in distributed storage
      • Project Experience: Building and managing big data platforms to enable large-scale analytics, often incorporating structured and unstructured data.
  • Database Administration and Optimization
    • Skills:
      • Expertise in database technologies (SQL, NoSQL, GraphDBs)
      • Query optimization, indexing, and partitioning strategies
      • Backup, replication, and disaster recovery planning
      • Understanding of query execution plans, cost-based optimization, and caching strategies.
      • Experience performing index and partition design based on query patterns.
      • Familiarity with data versioning and temporal tables.
      • Experience profiling and optimizing application code interacting with databases.
      • Project Experience: Performance tuning for complex queries, implementing database replication and sharding strategies to support high availability and scalability.
  • Data Governance and Security
    • Skills:
      • Data privacy, encryption, and compliance with regulations (GDPR, CCPA)
      • Implementing data governance frameworks (data lineage,    cataloging, metadata management)
      • Role-based access control and user management for sensitive data
      • Experience with automated policy enforcement and data lineage visualization tools (e.g., DataHub, Collibra, Alation).
      • Knowledge of data quality frameworks integrated into CI/CD pipelines.
      • Familiarity with data contract testing between producer and consumer teams.
      • Project Experience: Developing and implementing data governance policies and security controls across the organization’s data assets, ensuring compliance with industry standards.
  • Programming and Scripting Languages
    • Skills:
      • Proficiency in Python and SQL
      • Experience with version control (Git) and CI/CD for data engineering (Gitlab, Jenkins, CircleCI)
      • API design and integration (Postman)
      • Strong understanding of object-oriented programming (OOP) principles and design patterns in Python.
      • Familiarity with software engineering best practices (modularity, testing, documentation, linting).
      •  
      • Understanding of algorithmic complexity (Big O notation) and ability to optimize code for scale.
      • Experience with parallel and distributed computation frameworks (Spark, Dask, Ray).
      • Ability to profile and debug performance bottlenecks in data workflows.
      • Use of type hinting, logging frameworks, and automated testing frameworks (pytest, unittest)
  • AI/ML Pipeline Support and Analytics
    • Skills:
      • Experience in supporting data scientists with feature engineering, data wrangling, and model deployment
      • Knowledge of ML orchestration tools (MLflow, Kubeflow)
      • Hands-on experience with analytics tools (e.g., Tableau, Power BI)
      • Familiarity with feature store design and model feature lineage tracking.
      • Understanding of data versioning and reproducibility for ML workflows.
      • Experience supporting real-time model inference pipelines.
      • Project Experience: Designing architectures that support AI/ML initiatives, enabling scalable data pipelines for training models, and supporting experimentation in the production environment.
  • Leadership and Mentorship
    • Skills:
      • Leading data engineering teams, cross-functional collaboration with data scientists, analysts, and business units
      • Project management (Agile, Scrum, Kanban) and stakeholder communication
      • Experience with mentorship and growing junior data engineers
      • Experience establishing data architecture standards and best practices.
      • Ability to review and approve technical designs for consistency and scalability.
      • Proven success in mentoring engineers in code quality, modeling, and system design.
      • Project Experience: Leading the technical direction for large-scale data initiatives, such as enterprise data lake implementations or the creation of a unified data platform.
Annually, commensurate with experience and location.

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