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Job Description 1218 years of overall experience in data, analytics, big data, and cloud platforms 710+ years in solution architecture roles spanning data engineering, analytics, and platform modernization 5+ years in a customerfacing presales / solutioning role, supporting RFPs, proposals, and POCs for large enterprise clients PreSales & Solution Architecture Experience Proven experience leading presales technical engagements, including discovery workshops, requirement analysis, architecture definition, and executivelevel presentations Endtoend ownership of solution shaping for data platform programs, covering: Currentstate assessment and gap analysis Target architecture and migration roadmap Effort estimation, sizing models, assumptions, risks, and dependencies Handson ownership of POCs / pilot engagements, including scope definition, success criteria, demo execution, and outcome articulation Strong experience supporting RFP/RFQ responses, creating architecture diagrams, solution narratives, delivery approaches, and commercial inputs in collaboration with sales and delivery teams Databricks & Modern Data Platform Experience Handson experience architecting solutions on Databricks Lakehouse / Data Intelligence Platform, including: Batch and streaming ingestion patterns Medallion (Bronze / Silver / Gold) architecture Delta Lakebased storage and processing Unity Catalogdriven governance and security Strong experience designing cloudnative data platforms on Azure, AWS, or GCP, including storage, compute, networking, security, and cost considerations Experience integrating Databricks with the broader ecosystem such as BI tools, orchestration frameworks, CI/CD pipelines, and enterprise monitoring platforms Leadership & Stakeholder Engagement Experience engaging with CxO, data leaders, and enterprise architects, translating business goals into scalable technical solutions Ability to articulate technology tradeoffs and architectural decisions to both technical and nontechnical stakeholders Experience mentoring junior architects/engineers and contributing reusable assets such as reference architectures, accelerators, and demo frameworks Preferred / Domain Exposure Exposure to AI/ML and MLOps concepts and AIready data platform architectures Experience driving largescale legacy modernization (EDW Lakehouse, Hadoop/Spark Databricks, BI modernization) Domain experience in BFSI, Insurance, Retail, Healthcare, or Telecom is a strong advantage 1218 years of overall experience in data, analytics, big data, and cloud platforms 710+ years in solution architecture roles spanning data engineering, analytics, and platform modernization 5+ years in a customerfacing presales / solutioning role, supporting RFPs, proposals, and POCs for large enterprise clients PreSales & Solution Architecture Experience Proven experience leading presales technical engagements, including discovery workshops, requirement analysis, architecture definition, and executivelevel presentations Endtoend ownership of solution shaping for data platform programs, covering: Currentstate assessment and gap analysis Target architecture and migration roadmap Effort estimation, sizing models, assumptions, risks, and dependencies Handson ownership of POCs / pilot engagements, including scope definition, success criteria, demo execution, and outcome articulation Strong experience supporting RFP/RFQ responses, creating architecture diagrams, solution narratives, delivery approaches, and commercial inputs in collaboration with sales and delivery teams Databricks & Modern Data Platform Experience Handson experience architecting solutions on Databricks Lakehouse / Data Intelligence Platform, including: Batch and streaming ingestion patterns Medallion (Bronze / Silver / Gold) architecture Delta Lakebased storage and processing Unity Catalogdriven governance and security Strong experience designing cloudnative data platforms on Azure, AWS, or GCP, including storage, compute, networking, security, and cost considerations Experience integrating Databricks with the broader ecosystem such as BI tools, orchestration frameworks, CI/CD pipelines, and enterprise monitoring platforms Leadership & Stakeholder Engagement Experience engaging with CxO, data leaders, and enterprise architects, translating business goals into scalable technical solutions Ability to articulate technology tradeoffs and architectural decisions to both technical and nontechnical stakeholders Experience mentoring junior architects/engineers and contributing reusable assets such as reference architectures, accelerators, and demo frameworks Preferred / Domain Exposure Exposure to AI/ML and MLOps concepts and AIready data platform architectures Experience driving largescale legacy modernization (EDW Lakehouse, Hadoop/Spark Databricks, BI modernization) Domain experience in BFSI, Insurance, Retail, Healthcare, or Telecom is a strong Job Descriptio