Hi Renuka,
Please initiate work on the role below and share a couple of qualified resumes.
Location is Bangalore only and Notice - Immediate to 1 week notice. This is a 6 months CTH role and work from the office. Feel free to contact me should you have any queries. Kaveri (Copied in the email is the SPOC). Budget is 40 LPA - 45 LPA Max.
Position :Data Engineering Architect/Technical Architect
Job Summary
We are seeking an experienced and strategic Data Engineering Architect with over 12 years of experience in designing, implementing, and managing enterprise-scale data platforms. The ideal candidate should possess deep expertise in Azure Databricks, Microsoft Fabric, Power BI, SQL, and modern cloud-based data architectures. In addition to technical leadership, the candidate should have strong client-facing experience, including account management, stakeholder engagement, solution consulting, and delivery governance.
Key Responsibilities
Solution Architecture & Technical Leadership
Define and implement enterprise data architecture strategies aligned with business objectives. Design scalable, secure, and high-performance data platforms using Microsoft Azure technologies. Architect modern data lakehouse solutions leveraging Azure Databricks and Microsoft Fabric. Lead the design of end-to-end data ingestion, transformation, storage, and analytics solutions. Establish best practices for data modeling, governance, security, and performance optimization. Drive cloud migration and modernization initiatives for enterprise data platforms. Data Engineering
Design and optimize ETL/ELT pipelines using Azure Databricks and Microsoft Fabric. Develop scalable data processing solutions for structured and unstructured data. Implement data quality frameworks, monitoring, and automation. Optimize SQL queries and database performance across large-scale environments. Ensure adherence to enterprise data governance, compliance, and security standards. Business Intelligence & Analytics
Design enterprise reporting and analytics solutions using Power BI. Build semantic models, dashboards, KPIs, and executive reporting frameworks. Enable self-service BI capabilities across business units. Collaborate with business stakeholders to translate reporting requirements into technical solutions. Client & Account Management
Serve as the primary technical advisor for strategic customer accounts. Build and maintain strong client relationships by understanding business goals and technology roadmaps. Lead solution discussions, architecture workshops, and technical presentations. Identify opportunities for digital transformation, upselling, and service expansion. Collaborate with delivery, sales, and pre-sales teams to ensure successful project execution. Manage customer expectations, delivery governance, risk mitigation, and escalation handling. Leadership
Mentor and guide architects, data engineers, and BI developers. Conduct architecture reviews, code reviews, and technical governance sessions. Define engineering standards, reusable frameworks, and best practices. Drive innovation and adoption of emerging Microsoft data technologies. Technical Skills
15+ years of experience in Data Engineering, Data Architecture, or Analytics. Strong expertise in Azure Databricks. Hands-on experience with Microsoft Fabric (Lakehouse, Warehouse, Data Factory, OneLake, Real-Time Analytics). Expert-level SQL programming and query optimization. Strong experience in Power BI development, administration, and enterprise deployment. Expertise in Azure Data Factory, Azure Synapse Analytics, Azure Data Lake Storage, and Azure SQL. Experience with PySpark, Spark SQL, and Python. Knowledge of Delta Lake architecture and medallion design patterns. Experience with CI/CD, Azure DevOps, Git, and Infrastructure as Code. Understanding of data governance, security, Purview, RBAC, and compliance frameworks.