Data Architect

Data Architect

Project Role : Data Architect
Project Role Description : Define the data requirements and structure for the application. Model and design the application data structure, storage and integration.
Must have skills : Data Architecture Principles
Good to have skills : NA
Minimum 15 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary:
As a Data Technology Delivery & Solution Architect, you will lead the solutioning, architecture, and delivery of Data & AI transformation programs. The role combines deep expertise in modern data platforms with strong client-facing consulting, delivery leadership, and solution architecture capabilities. You will help clients build scalable, cloud-native data ecosystems leveraging technologies such as Databricks, Snowflake, Azure, AWS, and Microsoft Data & AI platforms.


Roles & Responsibilities:
Lead architecture, solution design, and delivery of data and analytics programs.
Define modern data platform strategies across cloud and hybrid environments.
Partner with clients and stakeholders to translate business requirements into scalable technology solutions.
Drive solution workshops, architecture reviews, and technology roadmaps.
Lead delivery teams across architecture, data engineering, and analytics streams.
Support proposals, solutioning, estimation, and business development activities.
Ensure alignment with governance, security, scalability, and operational standards.

Professional & Technical Skills:
Strong experience in Data Architecture, Modern Data Platforms, and Cloud Technologies.
Experience architecting and delivering AI/GenAI-enabled data solutions, including data foundations for machine learning, analytics, and GenAI use cases.
Hands-on expertise with Databricks, Snowflake, Azure and/or AWS Data platforms.
Experience designing Data Lakes, Lakehouse, Data Warehouse, and Enterprise Data Platforms.
Strong understanding of data engineering, integration, governance, and analytics architectures.
Experience leading client-facing technology transformation programs.
Excellent stakeholder management, consulting, and communication skills.

Preferred
Experience with Microsoft Fabric, Power BI, MLOps, and advanced AI platforms.
Cross-industry experience delivering Data & AI programs.
Experience in the India market / India domestic business landscape.
Relevant certifications in Databricks, Snowflake, Azure, AWS, Data Architecture, or AI.

Additional Information:
Minimum 15+ years of experience in Data, Analytics, and Cloud technologies.
Proven experience across solution architecture, delivery leadership, and client engagement.
Location: Pune/ Mumbai
15 years of full-time education required.