Azure Data Architect

1 week ago

Thane, India LTIMindtree Full time

Mode of Employment: Permanent / FTE

Workplace Type: Hybrid

Location: all LTIMindtree Location (Pune, Mumbai, Bangalore, Chennai, Hyderabad, Kolkata, Noida)



We are looking for a highly skilled Azure Data Architect with proven expertise in designing and implementing complex, high-performance data architectures. The candidate will actively engage with clients, develop application strategies, and ensure seamless collaboration between business and technical leadership teams.


Key Responsibilities:

  • Design and develop sophisticated data architecture solutions for high-performance systems.
  • Lead and participate in client engagements to create plans and strategies for application development.
  • Serve as the interface between business leadership, technical teams, and delivery units, guiding clients toward optimal technology architectures.
  • Mentor and lead IT consultants across different practice areas and business units.
  • Support business development initiatives while ensuring client satisfaction during delivery.
  • Contribute to organizational thought leadership through executive presentations, architecture documentation, and IT position papers.
  • Engage with end users to gather requirements, translating them into technical documentation.
  • Identify performance bottlenecks and implement effective solutions.


People Leadership Skills:

  • Ability to work efficiently within teams and mentor team members.
  • Deliver high-quality work products under tight deadlines and pressure.
  • Coordinate with developers, architects, stakeholders, and cross-functional teams from both organizational and customer sides.


Professional Experience:

  • 11-16 years of experience in designing, architecting, and implementing large-scale application and data processing systems, with hands-on experience in Java, .NET, Python, or Microsoft technologies.
  • Strong experience in data modeling, database design, and working with databases, data warehousing, and BI tools.
  • Expertise with relational databases such as Oracle, SQL Server, and PostgreSQL.
  • In-depth understanding of performance tuning for applications and databases.
  • Strong knowledge of Big Data analytics platforms, ETL tools, and related technologies.
  • Ability to make architectural decisions and provide clear technology leadership.
  • Strong problem-solving, engineering, and communication skills.
  • Participation in the full Software Development Life Cycle (SDLC) of Big Data solutions.


Technical Skills:

  • Experience with NoSQL databases: Cassandra, MongoDB, HBase, and Azure.
  • Programming languages: Java, Python, .NET, and other Microsoft programming languages.
  • Cloud technologies: Azure Data Factory, ADLS Gen2, Azure Databricks/PySpark, and Azure Synapse.
  • Proficiency in RDBMS, DWBI technologies.

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