Senior Azure Engineer

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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.