Key Responsibilities :
Architecture & Delivery :
- Design, architect, and deliver cloud-based data solutions leveraging Medallion Architecture.
- Lead implementation of data lakes and cloud data platforms on Snowflake or Databricks.
- Ensure end-to-end solution integrity including performance, scalability, and security.
- Align architecture and delivery with business goals, future growth, and operational excellence.
Cloud Platform Expertise :
Lead AWS cloud implementations including services related to data storage, compute, and orchestration.Deep knowledge of Snowflake, Databricks, and integration with various AWS services.Pre-Sales & Client Engagement :
Participate actively in pre-sales activitiesowning RFP / RFQ responses, client presentations, and proposal development.Prepare comprehensive and persuasive Statements of Work (SOW) and Solution Overviews (SOA).Define solution architecture, resourcing needs, pricing strategies, and delivery timelines during pre-sales phases.Scoping & Estimation :
Own end-to-end solutioning, including defining technical strategy, architecture, and deployment plans.Collaborate with internal teams to scope resources, delivery timelines, and commercials / pricing models.Contribute to bid management, client workshops, and POCs as needed.Mandatory Skills & Qualifications :
Domain expertise in Retail or Automotive is mandatory.Proven experience designing and delivering solutions using Medallion Architecture.Hands-on experience in implementing data lakes using Snowflake or Databricks on AWS.Strong knowledge of AWS architecture and services, particularly in data and analytics.Demonstrated success in pre-sales, including responding to RFPs / RFQs, client solutioning, and writing SOWs / SOAs.Strong experience with :Cloud-native architectureData pipeline orchestrationData modeling and governanceSecurity best practices in cloud deploymentsPreferred Qualifications :
Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.Certifications in AWS, Snowflake, or Databricks are a plus.Exceptional communication and stakeholder management skills.Ability to lead technical teams and manage large, multi-phase data projects.Familiarity with Agile methodologies and enterprise delivery frameworks.(ref : hirist.tech)