Azure data architect

4 days ago

Delhi, 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 Postgre SQL.
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 No SQL databases: Cassandra, Mongo DB, HBase, and Azure.
Programming languages: Java, Python,. NET, and other Microsoft programming languages.
Cloud technologies: Azure Data Factory, ADLS Gen2, Azure Databricks/Py Spark, and Azure Synapse.
Proficiency in RDBMS, DWBI technologies.

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