Azure Devops Engineer Jobs in District of Columbia

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.