This is a hands-on technical leadership role where you will be responsible for shaping data architectures, guiding teams, and ensuring our solutions are robust, scalable, and aligned with industry best practices.

You will work with Microsoft Azure and Fabric as the core technology stack, and help bring in AI and advanced analytics capabilities where they add business value.

Job Responsibilities :

- To collaborate with various teams/regions in driving facilitating data design, identifying architectural risks and key areas of improvement in data landscape, and developing and refining data models and architecture frameworks.

- Work closely with stakeholders to understand business requirements and translate them into practical, data-driven solutions.

- Contribute to presales efforts such as preparing RFP responses, creating solution proposals, and supporting presentations.

- Participate in architecture and design workshops to showcase how Azure Data & AI capabilities can meet business needs including components such as AIMachine Learning, AI Machine Vision, Gen AI and AI-Modeling expertise.

- Technical experience and knowledge in Cloud Data Warehousing, data migration and data transformation.

- Develop and test ETL components to high standards of data quality and performance as a hands-on development lead.

- Familiarity with Databricks, Data Lakes, Data Warehouses, MDM, BI, Dashboards, AI-ML, AI-MV and Gen-AI.

- Oversee and contribute to the creation and maintenance of relevant data artifacts (data lineages, source to target mappings, high level designs, interface agreements, etc.) in compliance with enterprise level architecture standards.

- Experience in leading and delivering data centric projects with concentration on Data Quality and adherence to data standards and best practices.

- Experience in data modelling, metadata support, development and testing for enterprise-wide data solutions.

Must have :

- Bachelors degree in a technical field (Comp. Science degree preferred not mandatory).

- Expertise in ETL, Data architecture and Data modelling.

- Expertise working in Relational and Big Data platforms, including Databricks, and large-scale distributed systems such as Spark.

- Expertise in Data Engineering, Data Governance, Data Quality, Data Lake, Data Warehousing and Reporting/Analytics concepts.

- Expertise building Data pipelines, Data Lakes and Data Warehouses in Azure (optional as well for AWS and GCP) using Cloud services.

- Experience in designing Big Data/Cloud Solution Designs, data models.

- Knowledge of Pyspark, Shell scripting, SQL, Python & some of the standard data science packages.

- Experience in AI-ML/ AI-MV projects.

- Expertise in Agentic AI.

- Strong verbal and business communication skills.

- Good experience interfacing with customers and being able to explain end to end technical proposals.

Nice to have :

- Experience in manufacturing domain (add on).

- Microsoft certifications such as Azure Solution Architect Expert or DP-500 and MS Fabric DP-700.