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Home Based Azure Data Architect Jobs in Washington

Azure Data Architect

Washington, DC · On-site +1

$72.25 - $92.75/hr

This is a United States based position, and candidates must reside in the continental United States ... Experience with cloud computing platforms (e.g., Azure, Data Lake, Synapse Analytics, Machine ...

Data Architect

Springfield, VA · On-site +1

$99K - $225K/yr

Share Data Architect The Opportunity: For an organization to transform in today's digital world, it ... based data platforms, including Azure Synapse, ADLS, ADF, Logic Apps, and metadata-driven ...

Data Architect The Opportunity: For an organization to transform in today's digital world, it needs ... based data platforms, including Azure Synapse, ADLS, ADF, Logic Apps, and metadatadriven ...

Data Architect

Springfield, VA · On-site

$99K - $225K/yr

Data Architect The Opportunity: For an organization to transform in today's digital world, it needs ... based data platforms, including Azure Synapse, ADLS, ADF, Logic Apps, and metadata-driven ...

Data Architect

Springfield, VA · On-site

$99 - $225/hr

... based data platforms, including Azure Synapse, ADLS, ADF, Logic Apps, and met adata‑driven ... Data Architect The Opportunity: For an organization to transform in today's digital world, it needs ...

Data Architect

Mclean, VA · On-site

$64.50 - $83/hr

TLA is seeking an experienced and visionary Data Architect to design, optimize, and oversee our ... Evaluate and recommend new database technologies, cloud platforms (AWS, Azure, GCP), and tools to ...

Data Architect

Mclean, VA · On-site

$64.50 - $83/hr

TLA is seeking an experienced and visionary Data Architect to design, optimize, and oversee our ... Evaluate and recommend new database technologies, cloud platforms (AWS, Azure, GCP), and tools to ...

Sr Data Architect

Mclean, VA · On-site

$68 - $91/hr

Role: Sr Data Architect Location: McLean, VA (Onsite with Hybrid flexibility) Job Type: Contract ... Proven track record of successfully designing and implementing cloud-based data solutions in Azure

Data Architect

Washington, DC · On-site

$72 - $92.50/hr

... based, big data platforms • Architect solutions leveraging Databricks, Spark, Delta Lake, and ... EMR), Azure (Synapse, Data Lake, Purview), or GCP (BigQuery, Dataflow, Dataproc) • Experience ...

Data Architect

Quantico, VA · On-site

$133K - $222K/yr

... Azure, while ensuring compliance with Department of Defense (DoD). Responsibilities As a Data ... Actual compensation will be determined based on several factors permitted by law. AMERICAN SYSTEMS ...

Cloud Data Architect

Herndon, VA · On-site

$65.50 - $84.25/hr

The Cloud Data Architect owns enterprise platform architecture, security baselines, and Authority ... Plan and govern hosting transitions when authorized (e.g., Azure GovCloud to Azure Commercial ...

Data Architect

MD · On-site

$90K - $130K/yr

The Data Architect will support Barrow Wise's CPS project and perform the following duties ... Perform ETL transformations between data stored in MS SQL Server Management Studio, Azure SQL ...

Data Architect

Washington, DC · On-site

$72.25 - $92.75/hr

This role requires strong expertise in cloud platforms (AWS, Azure, GCP), big data ecosystems, and ... Lead the modernization of legacy data environments into cloud-based, big data platforms

Data Architect

Washington, DC · On-site

$72 - $92.50/hr

This role requires strong expertise in cloud platforms (AWS, Azure, GCP), big data ecosystems, and ... Lead the modernization of legacy data environments into cloud-based, big data platforms

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Home Based Azure Data Architect information

What is the difference between Home Based Azure Data Architect vs Azure Data Engineer?

AspectHome Based Azure Data ArchitectAzure Data Engineer
CertificationsAzure Solutions Architect Expert, Azure Data Engineer AssociateAzure Data Engineer Associate, Azure Solutions Architect Expert
Work EnvironmentRemote, independent consulting or enterprise rolesRemote or on-site, often part of data teams
Industry UsageDesigns data solutions, oversees architectureBuilds and maintains data pipelines and storage

While both roles require Azure certifications and involve cloud data solutions, the Home Based Azure Data Architect focuses on designing and overseeing data architecture remotely, whereas the Azure Data Engineer primarily builds and maintains data pipelines and storage solutions. The architect role is more strategic, while the engineer role is more technical and implementation-focused.

What are the most commonly searched types of Azure Data Architect jobs in Washington?

The most popular types of Azure Data Architect jobs in Washington are:

What cities in Washington are hiring for Home Based Azure Data Architect jobs?

Cities in Washington with the most Home Based Azure Data Architect job openings:

Infographic showing various Home Based Azure Data Architect job openings in Washington as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 15% Part Time, and 7% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Azure Data Architect

Sparibis

Washington, DC • On-site, Remote

$72.25 - $92.75/hr

Full-time

Posted 15 days ago


Job description

Location: 100% Remote. This is a United States based position, and candidates must reside in the continental United States to be eligible for employment.
Years' Experience: 10+ Years of professional experience.
Education: Bachelor's degree in computer science, Data Science, Statistics, or related field.
Clearance: Applicants must be able to obtain and maintain a secret security clearance. United States Citizenship is required as part of the eligibility criteria to be able to obtain this type of security clearance.
Certifications:
  • Active CompTIA Security+ Certification

Key Skills:
  • Expertise in statistical modeling, machine learning algorithms, and data mining techniques.
  • Must have strong expertise in the Azure Cloud environment
  • Strong proficiency in Python or similar language and SQL for data preparation, analysis, and modeling

Responsibilities
  • Data Science Strategy: Develop and implement a data science strategy for the project, aligning with strategic goals and objectives.
  • Problem Identification: Work with stakeholders to identify opportunities to leverage data to improve HR processes, such as recruitment, retention, training, and performance management.
  • Data Exploration & Analysis: Lead the exploration and analysis of large datasets to identify trends, patterns, and insights to understand data quality, gaps, and potential enhancements.
  • Model Development: Design, develop, and validate predictive models using machine learning algorithms and statistical techniques.
  • Model Deployment: Deploy and maintain machine learning models in a production environment, ensuring scalability and reliability.
  • Data Visualization: Create compelling data visualizations using tools such as Power BI to communicate insights to stakeholders.
  • Team Leadership: Lead and mentor a team of data scientists, providing technical guidance and support.
  • Collaboration: Collaborate with other teams, including software developers, system architects, and business analysts, and to integrate data science solutions.
  • Data Quality: Ensure data quality and accuracy by implementing data validation and cleansing processes.
  • Compliance: Ensure that all data science activities comply with relevant and DoD regulations and security policies.
  • Research & Development: Stay up to date with the latest advances in data science and machine learning and explore new technologies and techniques to improve HR processes.
  • Documentation: Create and maintain detailed documentation of data science processes, models, and results.

Qualifications
  • 10+ years of experience in data science, machine learning, and statistical modeling.
  • Bachelor's degree in data science, Statistics, Mathematics, Computer Science, or a related quantitative field experience
  • Active Secret security clearance
  • Active CompTIA Security+ certification
  • Expertise in statistical modeling, machine learning algorithms, and data mining techniques.
  • Experience with cloud computing platforms (e.g., Azure, Data Lake, Synapse Analytics, Machine Learning, Databricks, Logic Apps, AI Foundry).
  • Proficiency in programming languages such as Python, R, SQL, PySpark
  • Strong proficiency in Python or similar language and SQL for data preparation, analysis, and modeling
  • Experience with data visualization tools (e.g., Power BI).
  • Hands on experience with Microsoft Dataverse for data storage and management.
  • Strong experience with data extraction, cleaning, and transformation (ETL) processes.
  • Experience in data governance, metadata management, and data cataloging.
  • Experience with cloud computing platforms (e.g., Azure, Data Lake, Synapse Analytics, Machine Learning, Databricks, Logic Apps, AI Foundry).
  • Strong understanding of database technologies and SQL.
  • Experience with Microsoft Power Platform (Power BI, Power Automate) is a plus.
  • Excellent communication, presentation, and leadership skills.

About Sparibis
Sparibis LLC is a professional solution firm that Clients rely on to access the best talent to drive their business success.
Sparibis is an equal opportunity employer that values diversity at all levels. All individuals, regardless of personal characteristics, are encouraged to apply.