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Azure Data Platform Engineer Jobs in Washington (NOW HIRING)

DLA Piper

Data Engineer

Reston, VA · On-site

$119K - $143K/yr

Together. Summary The Data Engineer, Solutions & Data role designs, builds, and operates data ... Data Platform & Storage * Design and implement data pipelines using Azure data technologies (e.g ...

InstantServe LLC

Azure Data Solutions Architect

Washington, DC · On-site

$72 - $92.50/hr

... data platform solutions. This top-level role will be instrumental in architecting scalable ... Work closely with senior management, data scientists, application developers, and business analysts ...

Dlapiper

Data Engineer

Washington, DC

$129K - $155K/yr

Together. Summary The Data Engineer, Solutions & Data role designs, builds, and operates data ... Data Platform & Storage * Design and implement data pipelines using Azure data technologies (e.g ...

Dlapiper

Data Engineer

Reston, VA

$119K - $143K/yr

Together. Summary The Data Engineer, Solutions & Data role designs, builds, and operates data ... Data Platform & Storage * Design and implement data pipelines using Azure data technologies (e.g ...

Mpr Associates, Inc.

Data Platform Engineer

Alexandria, VA · On-site

$122K - $147K/yr

General Join our engineering team as a Data Platform Engineer where you'll build robust data processing applications and analytics solutions. We're looking for someone who thrives at the intersection ...

Mpr Associates, Inc.

Data Platform Engineer

Alexandria, VA · On-site

$122K - $147K/yr

General Join our engineering team as a Data Platform Engineer where you'll build robust data processing applications and analytics solutions. We're looking for someone who thrives at the intersection ...

Mpr Associates, Inc.

Data Platform Engineer

Alexandria, VA · On-site

$122K - $147K/yr

General Join our engineering team as a Data Platform Engineer where you'll build robust data processing applications and analytics solutions. We're looking for someone who thrives at the intersection ...

CyberMedia Technologies

Data Engineer

Mclean, VA · On-site

$115K - $139K/yr

We are seeking to hire a Data Engineer to our team! Client: CTEC develops and delivers innovative ... platforms, data lakes, and lakehouse environments, preferably on Microsoft Azure. * Experience ...

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Azure Data Platform Engineer information

What is the difference between Azure Data Platform Engineer vs Data Engineer?

AspectAzure Data Platform EngineerData Engineer
CertificationsAzure certifications (e.g., DP-203)General data engineering certifications (e.g., Google Cloud, AWS)
Work EnvironmentPrimarily cloud-based, Azure ecosystemOn-premises, cloud, or hybrid environments
Industry UsageOrganizations using Microsoft AzureVarious industries, broader data infrastructure roles
FocusDesigning, implementing, and managing Azure data solutionsBuilding and maintaining data pipelines and architectures

The Azure Data Platform Engineer specializes in Azure cloud data solutions, while the Data Engineer has a broader scope across different platforms and environments. Both roles require strong data management skills, but the Azure Data Platform Engineer focuses specifically on Azure services and certifications.

What are some common challenges Azure Data Platform Engineers face when integrating data from multiple sources?

Azure Data Platform Engineers often encounter challenges when consolidating data from diverse sources, such as differing data formats, inconsistent data quality, and varying update frequencies. Addressing these issues typically involves designing robust data pipelines using Azure Data Factory or Synapse, implementing effective data transformation and cleansing routines, and ensuring secure, compliant data movement. Collaborating closely with data architects and business analysts is essential to align technical solutions with organizational data governance and integration requirements.

What is an Azure Data Platform Engineer?

An Azure Data Platform Engineer is a technology professional who specializes in designing, building, and managing data solutions on Microsoft Azure. They work with services such as Azure SQL Database, Azure Data Factory, Azure Synapse Analytics, and other cloud-based data technologies to ensure efficient data storage, processing, integration, and analytics. Their role often involves implementing data pipelines, managing data security, optimizing performance, and supporting data-driven decision-making for organizations. Azure Data Platform Engineers typically collaborate with data scientists, analysts, and software developers to deliver robust and scalable data solutions.

What are the key skills and qualifications needed to thrive as an Azure Data Platform Engineer, and why are they important?

To thrive as an Azure Data Platform Engineer, you need expertise in data modeling, SQL, cloud architecture, and a strong understanding of Microsoft Azure services, typically supported by a degree in computer science or related fields. Familiarity with Azure Data Factory, Azure SQL Database, Databricks, and certifications like Microsoft Certified: Azure Data Engineer Associate are valuable. Strong analytical thinking, problem-solving skills, and effective communication set top performers apart in this role. These skills ensure the efficient design, deployment, and management of robust data solutions that support business intelligence and analytics needs.
What are popular job titles related to Azure Data Platform Engineer jobs in Washington? For Azure Data Platform Engineer jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Azure Data Platform Engineer jobs in Washington look for? The top searched job categories for Azure Data Platform Engineer jobs in Washington are:
Azure Data Platform Engineer jobs near you
Senior Azure Engineer

Senior Azure Engineer

Cognizant Technology Solutions

Washington, DC • On-site

$140K - $155K/yr

Full-time

Medical, Dental, Vision, Retirement

This job post has expired today. Applications are no longer accepted.

Cognizant rating

7.4

Company rating: 7.4 out of 10

Based on 85 frontline employees who took The Breakroom Quiz

41st of 58 rated business consultants

Job description

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Data Architect - Azure & Databricks
Location: Washington, DC (Onsite)
Role Summary
We are seeking an experienced Data Architect with deep expertise in Azure Data Platform and Databricks to design and deliver scalable, modern data solutions. In this role, you will define enterprise-grade data architectures, guide engineering teams, and ensure high-quality, reusable, and future-ready data platforms.
You will play a strategic role in shaping data ecosystems, enabling analytics, and supporting business-critical data initiatives.
Key Responsibilities
  • Design, develop, and maintain core data architecture frameworks leveraging Azure Data Factory, Azure Data Lake, and Databricks
  • Define and communicate technical architecture decisions, including constraints, trade-offs, and design standards
  • Design scalable, flexible, and reusable data solutions aligned with enterprise strategy
  • Provide guidance on deployment strategies, ensuring solutions are safe, incremental, and reversible
  • Lead the development of standard methodologies, frameworks, and reusable components
  • Collaborate with technical leads, project managers, and data engineers to review and validate solution designs
  • Establish and enforce data engineering best practices, governance, and coding standards
  • Evaluate and recommend emerging technologies to improve data platform efficiency and scalability
  • Proactively identify and mitigate technical risks and challenges, ensuring timely resolution
  • Stay current with evolving trends in data platforms, cloud technologies, and data engineering practices
Required Qualifications
  • Bachelor's or Master's degree in Computer Science, Engineering, or Information Systems
  • 8+ years of experience designing and implementing enterprise data solutions
  • Proven experience as a Data Architect within the Microsoft Azure ecosystem
Technical Expertise
  • Strong hands-on experience with:
    • Azure Data Factory (ADF)
    • Azure Synapse Analytics
    • Azure Databricks
    • Azure SQL Database
    • Azure Functions & Logic Apps
  • Expertise in data warehousing and modeling techniques:
    • Dimensional modeling
    • Star schema
    • Data Vault
    • Medallion architecture
  • Experience with modern data platforms and tools:
    • Databricks, Spark, Snowflake, Kafka, Hadoop, or Dremio
  • Advanced proficiency in:
    • SQL and relational databases (SQL Server, Oracle, PostgreSQL)
    • Python and Spark-based data processing
  • Deep knowledge of ETL/ELT frameworks, including batch and real-time data processing
  • Experience designing data solutions for API, .NET, and analytics consumption (e.g., Power BI)
  • Familiarity with:
    • Azure DevOps
    • ARM templates
    • Automation tools (PowerShell, Azure Automation, AZ Copy)
Preferred Qualifications
  • Strong experience creating architecture artifacts and high-level data models
  • Ability to lead technical discussions and influence stakeholders across varying perspectives
  • Demonstrated ability to drive alignment and deliver results in complex environments
  • Excellent organizational, communication, and stakeholder management skills
Behavioral Competencies
  • Strategic thinker with strong problem-solving skills
  • Collaborative mindset with ability to influence and drive consensus
  • Ownership-driven with strong attention to detail and execution
  • Continuous learner with passion for emerging data technologies
Salary & Compensation
  • Base Salary Range: $140,000 - $155,000 per year
  • This position is also eligible for performance-based bonuses and comprehensive benefits (health, dental, vision, 401(k), and more).
  • Compensation may vary based on experience, skills, and other factors.
Work Environment
  • Onsite role based in Washington, DC
  • Collaborative, fast-paced environment working with cross-functional teams and client stakeholders
Why Cognizant
At Cognizant, we help organizations modernize technology, reimagine processes, and transform experiences. You'll work alongside industry experts on cutting-edge platforms, driving impactful transformation for global clients.
About Cognizant:
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization's unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.
Additional employment information
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.
If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email [email protected] for roles based in the Americas or [email protected] for roles based in India.

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