Manager - Azure Data Architect

Posted Yesterday
Be an Early Applicant
Hiring Remotely in India
Remote
Senior level
Information Technology • Database • Consulting
The Role
Lead design and delivery of end-to-end data architectures on Azure/Microsoft Fabric. Define modeling standards, storage and processing choices, cost and security patterns, and translate business needs into scalable data solutions. Document architectures, facilitate design workshops, mentor teams, evaluate existing systems, and communicate technical tradeoffs to stakeholders.
Summary Generated by Built In
  • Data modeling (conceptual, logical, physical)
  • Designing end-to-end data architectures (ingestion → storage → processing → consumption)
  • Defining standards for schemas, naming, versioning, and reuse
  • Storage & Processing – relational databases, big data & analytics platforms, object storage
  • Cloud Architecture – Azure/Microsoft Fabric fundamentals, cost optimization & scalability patterns, security & networking basics
  • Translating business requirements into data structures
  • Understanding business processes and operating models
  • Explaining complex architectures to non-technical stakeholders
  • Creating clear architecture diagrams and decision documents
  • Facilitating design workshops and tradeoff discussion
Responsibilities
  • Robust knowledge of data management industry (DW, BI, 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 succes

Skills Required

  • Data modeling (conceptual, logical, physical)
  • Designing end-to-end data architectures (ingestion -> storage -> processing -> consumption)
  • Define standards for schemas, naming, versioning, and reuse
  • Storage & processing knowledge: relational databases, big data & analytics platforms, object storage
  • Cloud architecture fundamentals (Azure / Microsoft Fabric), cost optimization, scalability, security & networking basics
  • Translate business requirements into data structures and understand business processes
  • Create clear architecture diagrams and decision documents
  • Facilitate design workshops and tradeoff discussions
  • Robust knowledge of data management disciplines (DW, BI, Big Data, Cloud, MDM, DG, DQ, Data Modeling)
  • Ability to research and learn new technologies quickly
  • Ability to lead cross-functional projects and teams; mentor and provide leadership
  • Evaluate existing architectures and recommend improvements
  • Architect solutions based on customer requirements
  • Excellent oral and written communication and presentation skills
  • Ability to work independently and collaborate across teams in an agile environment
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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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