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Remote Azure Synapse Analytics Jobs in Reston, VA

Steampunk

Lead Data Architect

Mclean, VA · On-site +1

Mastery of distributed data processing frameworks (e.g., Spark, Databricks, Flink, Kafka, Synapse ... AWS Data Analytics Specialty * AWS Solutions Architect - Professional * Azure Solutions Architect ...

Steampunk

Lead Data Architect

Mclean, VA · Remote

Mastery of distributed data processing frameworks (e.g., Spark, Databricks, Flink, Kafka, Synapse ... AWS Data Analytics Specialty * AWS Solutions Architect - Professional * Azure Solutions Architect ...

Steampunk

Lead Data Architect

Mclean, VA · Remote

Mastery of distributed data processing frameworks (e.g., Spark, Databricks, Flink, Kafka, Synapse ... AWS Data Analytics Specialty * AWS Solutions Architect - Professional * Azure Solutions Architect ...

Ex Parte, Inc

Senior Data Scientist

Bethesda, MD · On-site +1

Analyze new and existing data after extracting. transforming and combining it in novel ways ... Factory, Synapse, Azure Data Lake, etc * Familiarity with Agile software delivery including ...

IT Labs

Senior DevOps Engineer

Washington, DC · Remote

$133K - $170K/yr

Container Apps, AKS, Azure Functions, Key Vault, Synapse, Data Factory, Azure Landing Zones ... Remote * US-based -- US citizenship is required * Contract or B2B arrangement Our values We are a ...

Ex Parte, Inc

Data QA Engineer

Bethesda, MD · On-site +1

$122K - $146K/yr

Collaborate with the analytic teams to conduct data quality investigations, improve automation and ... Factory, Synapse, Azure Data Lake, etc * Familiarity with Agile software delivery including ...

System One

HR Data Analytics

Merrifield, VA · Remote

Remote Pay Rate: Open to both W2 and established 1099 options Position Type: Multiyear Contract ... Azure data platforms, and expertise in metadata management, data quality, lineage, security ...

HelioCampus

Analytics Engineer

Bethesda, MD · On-site +1

Experience with cloud platforms such as AWS, Azure, or GCP. * Exposure to data warehousing concepts ... This specific role is primarily remote, with occasional travel to an office or client site.

HelioCampus

Analytics Engineer

Bethesda, MD · On-site +1

Experience with cloud platforms such as AWS, Azure, or GCP. * Exposure to data warehousing concepts ... This specific role is primarily remote, with occasional travel to an office or client site.

ICF

Manager, Data Analytics - Remote

Reston, VA · Remote

... Azure/GCP data certification, Microsoft Power BI certification, Databricks, Snowflake, or ... Experience with SQL, Python, R, Databricks, Snowflake, Redshift, BigQuery, Synapse, Dataverse, or ...

Inova

Sr. HR Analytics Analyst

Fairfax, VA · On-site +1

$90K - $119K/yr

This remote role will be full-time day shift working Monday - Friday. The Sr. HR Analytics Analyst ... Proficiency in utilizing Microsoft Azure for data storage, processing, and analytics. * Advanced ...

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All JobsRemote Azure Synapse Analytics JobsRemote Azure Synapse Analytics Jobs in Reston, VA

Remote Azure Synapse Analytics information

See Reston, VA salary details

$63.5K

$107.2K

$134.2K

How much do remote azure synapse analytics jobs pay per year?

As of Jun 26, 2026, the average yearly pay for remote azure synapse analytics in Reston, VA is $107,156.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,400.00 and $127,400.00 per year, depending on experience, location, and employer.

What is a Remote Azure Synapse Analytics professional?

A Remote Azure Synapse Analytics professional is an expert who works with Microsoft Azure Synapse Analytics—a cloud-based analytics service—while working remotely, often from home or another location outside of a traditional office. Their responsibilities typically include designing, developing, and managing data integration, analytics, and big data solutions using Synapse. They collaborate with data engineers, data scientists, and business stakeholders to deliver insights and ensure the efficient processing of large datasets. Remote professionals use cloud tools to access resources and communicate with teams, making location flexibility possible.

What are the key skills and qualifications needed to thrive as a Remote Azure Synapse Analytics professional, and why are they important?

To thrive as a Remote Azure Synapse Analytics professional, you need strong expertise in data engineering, SQL, data warehousing concepts, and a solid understanding of Azure cloud platforms, often supported by a degree in computer science or a related field. Familiarity with tools such as Azure Synapse Studio, Power BI, Azure Data Factory, and relevant Microsoft certifications like Azure Data Engineer Associate is typically required. Excellent problem-solving abilities, strong communication skills, and the ability to work independently are crucial soft skills for this remote role. These competencies are vital for efficiently designing, implementing, and managing data solutions that drive business intelligence and decision-making in a distributed work environment.

What are some common challenges faced by professionals working remotely with Azure Synapse Analytics, and how can they be addressed?

Professionals working remotely with Azure Synapse Analytics often face challenges related to secure data access, collaboration with distributed teams, and managing complex cloud resources. To address these, it's important to establish robust remote access protocols, such as using VPNs and role-based access controls. Regular communication using collaboration tools and thorough documentation of data workflows help maintain team alignment. Additionally, automating resource management and monitoring via Azure tools can improve efficiency and reduce the risk of errors in a remote setting.

What is the difference between Remote Azure Synapse Analytics vs Data Engineer?

AspectRemote Azure Synapse AnalyticsData Engineer
Required CredentialsAzure certifications, SQL, data warehousing skillsData engineering certifications, SQL, cloud platform knowledge
Work EnvironmentCloud-based, remote, collaborative teamsOn-premises or cloud, often remote, technical focus
Industry UsageData analytics, business intelligence, cloud solutionsData pipeline development, database management, ETL processes

Remote Azure Synapse Analytics specialists focus on designing and managing data analytics solutions using Azure cloud services, while Data Engineers build and maintain data pipelines and infrastructure. Both roles require similar technical skills and certifications but differ in their primary focus and daily tasks.

What are popular job titles related to Remote Azure Synapse Analytics jobs in Reston, VA? For Remote Azure Synapse Analytics jobs in Reston, VA, the most frequently searched job titles are:
What job categories do people searching Remote Azure Synapse Analytics jobs in Reston, VA look for? The top searched job categories for Remote Azure Synapse Analytics jobs in Reston, VA are:
What cities near Reston, VA are hiring for Remote Azure Synapse Analytics jobs? Cities near Reston, VA with the most Remote Azure Synapse Analytics job openings:
Remote Azure Synapse Analytics jobs near you
Infographic showing various Remote Azure Synapse Analytics job openings in Reston, VA as of June 2026, with employment types broken down into 79% Full Time, and 21% Contract. Highlights an 100% Remote job distribution, with an average salary of $107,156 per year, or $51.5 per hour.

Lead Data Architect

Steampunk

Mclean, VA • On-site, Remote

Other

Posted 28 days ago

Job description

Overview
We are seeking a Principal Data Solution Architect / Lead Data Architect to serve as the senior-most technical authority for end-to-end data architectures, cloud data platforms, integration strategies, and enterprise-scale modernization initiatives. This role operates at the intersection of architecture, engineering, analytics, AI, and mission strategy. The Principal Data Solution Architect shapes the vision for how data is collected, governed, transformed, stored, accessed, and activated across complex environments-ultimately enabling reliable analytics, ML/AI capabilities, and mission-critical applications.
This leader drives architectural strategy across data platforms, lakehouses, warehouses, integration layers, and AI/ML pipelines, while guiding engineering teams toward scalable, secure, and maintainable solutions.
Contributions
  • Serve as the chief architect for data platform modernization, designing enterprise data ecosystems including lakehouse architectures, data mesh/fabric patterns, domain modeling, and multi-cloud data strategies.
  • Translate mission and business needs into actionable data architecture roadmaps, reference architectures, and solution blueprints.
  • Architect robust ingestion, transformation, and serving layers using a blend of batch, streaming, CDC, API-based, and event-driven patterns.
  • Lead end-to-end data modeling strategy, including canonical data models, semantic layers, MDM architectures, metadata systems, and AI/ML-aligned feature modeling.
  • Partner with Data Engineering, Data Science, AI/ML Engineering, and LLMOps/MLOps teams to ensure data platforms support analytics, ML, RAG systems, and advanced automation use cases.
  • Define and enforce enterprise data standards: schema evolution, data contracts, quality frameworks, lineage expectations, observability, data zones, and Zero Trust data-access policies.
  • Drive platform engineering decisions including storage optimization, cluster sizing, compute orchestration, network design, and cost-performance tradeoffs.
  • Guide selection and adoption of platform technologies such as Databricks, Snowflake, Redshift, Synapse, BigQuery, lakehouse engines, metadata platforms, and orchestration tools.
  • Oversee architectural governance, including design reviews, performance evaluations, cloud readiness assessments, and alignment with enterprise cybersecurity and compliance requirements.
  • Serve as a senior advisor to client executives, framing modernization strategies, defining investment pathways, and articulating value realization for enterprise data initiatives.
  • Mentor Data Engineers, Data Architects, and cross-functional technical staff, strengthening architectural maturity across programs.
  • Develop reusable frameworks, architectural patterns, playbooks, and internal accelerators that improve consistency and reduce delivery time across engagements.
  • Stay current with emerging trends in cloud-native data ecosystems, metadata automation, distributed compute, AI-ready data architectures, and federal data regulations.
  • You will contribute to the growth of our AI & Data Exploitation Practice!

Qualifications
  • Ability to hold a position of public trust or higher clearance as required.
  • Bachelor's, Master's, or Ph.D. in Computer Science, Data Engineering, Information Systems, Cloud Architecture, or a related technical field.
  • 10+ years of professional experience designing enterprise-scale data solutions, with significant architectural leadership.
  • Expert-level knowledge of modern data architectures including lakehouse, data mesh, data fabric, MDM, event-driven architectures, and domain-driven design
  • Deep experience with cloud-native data ecosystems across AWS, Azure, or GCP-including storage, compute, orchestration, serverless, virtualization, containerization, and security services.
  • Mastery of distributed data processing frameworks (e.g., Spark, Databricks, Flink, Kafka, Synapse, Dataflow) and strong proficiency in SQL and Python.
  • Proven ability to design end-to-end ingestion pipelines, transformation logic, metadata systems, feature stores, and data serving layers optimized for analytics and AI workloads.
  • Understanding of enterprise data governance, including cataloging, lineage, privacy, tagging, Zero Trust access patterns, and compliance requirements.
  • Strong communication skills with the ability to influence senior stakeholders, justify architectural decisions, and translate complex concepts into actionable insights.
  • Demonstrated success mentoring technical staff, leading architecture reviews, and guiding multi-team delivery across complex modernization programs.
  • Experience collaborating with Data Science, AI/ML, and MLOps teams to ensure data architectures support scalable model development and operationalization.
  • Preferred certifications (highly relevant):
    • AWS Data Analytics Specialty
    • AWS Solutions Architect - Professional
    • Azure Solutions Architect Expert
    • Databricks Data Engineer Professional
    • Google Professional Data Engineer
    • Snowflake SnowPro Advanced Architect
    • TOGAF or cloud architecture frameworks
  • Local to Washington, DC metro area

About steampunk
Steampunk relies on several factors to determine salary, including but not limited to geographic location, contractual requirements, education, knowledge, skills, competencies, and experience. The projected compensation range for this position is $165,000 to $210,000. The estimate displayed represents a typical annual salary range for this position. Annual salary is just one aspect of Steampunk's total compensation package for employees. Learn more about additional Steampunk benefits here.
Identity Statement
As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Steampunk is a Change Agent in the Federal contracting industry, bringing new thinking to clients in the Homeland, Federal Civilian, Health and DoD sectors. Through our Human-Centered delivery methodology, we are fundamentally changing the expectations our Federal clients have for true shared accountability in solving their toughest mission challenges. As an employee owned company, we focus on investing in our employees to enable them to do the greatest work of their careers - and rewarding them for outstanding contributions to our growth. If you want to learn more about our story, visit http://www.steampunk.com.
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. Steampunk participates in the E-Verify program.

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