Azure Data Architect

Posted 23 Days Ago
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Gurugram, Haryana, IND
Hybrid
Senior level
Information Technology • Database • Consulting
The Role
Lead data management assessments and define enterprise data architecture and strategy. Develop architecture deliverables, guide technical teams, enforce standards, design data movement, cloud and big-data solutions, and recommend improvements and opportunities.
Summary Generated by Built In

Participate in Data Management Assessments utilizing interviews, document analysis, requirements workshops, surveys, site visits, business process descriptions, use cases, scenarios, business analysis, task and workflow analysis.  The Assessment result will provide Data Management Roadmap and Strategy and should include suggestions for additional client opportunities

Ensure architecture deliverables are developed, implement architectures, and support technical developers at a project, business unit and enterprise level, including the oversight of compliance to standards, methodologies and guidelines

Establish overall architecture direction including data movement approach, architecture / technology strategy, and any other data-related considerations to ensure business value

Responsibilities
  • 8+ years of experience with BI/DW implementations in Data Management, including 4+ years of experience in technical or solution architecture
  • 2+ years of experience leading offshore teams
  • Practical Architecture experience in at least 2 of the following areas: Data Integration/Data Quality/Cloud Platforms/Master Data Management/Big Data/Data Governance/Data Modeling
  • Experience using major data modeling tools (examples: ERwin, ER/Studio, etc)
  • Experience with major database platforms
  • Solid experience with performance optimization 
  • Experience with Big Data best practices
  • Big Data Security Products 
  • Experience with Cloud Architectures focused on Data Management and usage patterns 
  • Experience implementing a form of Streaming Technologies 
  • Understanding of Traditional ETL, ELT, Data Warehousing and Data Marts is must
Qualifications
  • Robust knowledge of data management industry (DW, BD, Cloud, MDM, DG, DQ, Data Modeling) 
  • Ability to research and learn new technologies and processes quickly
  • Ability to lead cross-functional projects and teams
  • Ability to evaluate an existing architecture and document issues and suggested improvements 
  • Ability to Architect solutions based on customer requirements 
  • Excellent oral and written communication skills, including presentation experience, with proven leadership and mentoring abilities
  • Ability to work independently on projects as well as collaborate effectively across teams. 
  • Excels in a fast-paced, agile environment where critical thinking and strong problem solving skills are required for success

Skills Required

  • 8+ years of experience with BI/DW implementations in Data Management
  • 4+ years of experience in technical or solution architecture
  • 2+ years of experience leading offshore teams
  • Practical architecture experience in at least two: Data Integration, Data Quality, Cloud Platforms, Master Data Management, Big Data, Data Governance, Data Modeling
  • Experience using major data modeling tools (ERwin, ER/Studio)
  • Experience with major database platforms
  • Solid experience with performance optimization
  • Experience with Big Data best practices
  • Experience with Big Data security products
  • Experience with cloud architectures focused on data management
  • Experience implementing streaming technologies
  • Understanding of traditional ETL, ELT, data warehousing and data marts
  • Robust knowledge of data management industry (DW, BD, Cloud, MDM, DG, DQ, Data Modeling)
  • Excellent oral and written communication skills with presentation and leadership experience
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The Company
HQ: New York, NY
30,246 Employees
Year Founded: 1999

What We Do

Choosing a digital partner is about more than capabilities — it’s about collaboration and character. Unrealistic overhauls and off-the-shelf products ignore what matters most — your unique needs, culture, goals, and your legacy data and technology environments. At EXL, our collaboration is built on ongoing listening and learning to adapt our methodologies. We’re your business evolution partner—tailoring solutions that make the most of data to make better business decisions and drive more intelligence into your increasingly digital operations. Whether your goals are scaling the use of AI and digital, redesign operating models, or driving better and faster decisions, we’re here to partner with you to help you gain—and maintain—competitive advantage with efficient, sustainable models at scale. Our expertise in transformation, data science, and change management helps make your business more efficient and effective, improve customer relationships and enhance revenue growth. Instead of focusing on multi-year, resource- and time-intensive platform designs or migrations, we look deeper at your entire value chain to integrate strategies with impact. We use our specialization in analytics, digital interventions, and operations management—alongside deep industry expertise — to deliver solutions that help you outperform the competition. At EXL, it’s all about outcomes—your outcomes—and delivering success on your terms. Share your goals with us and together, we’ll optimize how you leverage data to drive your business forward. For more information, visit www.exlservice.com.

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