Azure Data Architect

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.