12-18 years of overall experience in data, analytics, big data, and cloud platforms

- 7-10+ years in solution architecture roles spanning data engineering, analytics, and platform modernization
- 5+ years in a customer‑facing pre‑sales / solutioning role , supporting RFPs, proposals, and POCs for large enterprise clients

Pre‑Sales & Solution Architecture Experience

- Proven experience leading pre‑sales technical engagements , including discovery workshops, requirement analysis, architecture definition, and executive‑level presentations

- End‑to‑end ownership of solution shaping for data platform programs, covering:

- Current‑state assessment and gap analysis

- Target architecture and migration roadmap

- Effort estimation, sizing models, assumptions, risks, and dependencies

- Hands‑on 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

- Hands‑on experience architecting solutions on Databricks Lakehouse / Data Intelligence Platform , including:

- Batch and streaming ingestion patterns

- Medallion (Bronze / Silver / Gold) architecture

- Delta Lake‑based storage and processing

- Unity Catalog‑driven governance and security

- Strong experience designing cloud‑native 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 trade‑offs and architectural decisions to both technical and non‑technical 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 AI‑ready data platform architectures
- Experience driving large‑scale legacy modernization (EDW Lakehouse, Hadoop/Spark Databricks, BI modernization)
- Domain experience in BFSI, Insurance, Retail, Healthcare, or Telecom is a solid advantage
- 12-18 years of overall experience in data, analytics, big data, and cloud platforms
- 7-10+ years in solution architecture roles spanning data engineering, analytics, and platform modernization
- 5+ years in a customer‑facing pre‑sales / solutioning role , supporting RFPs, proposals, and POCs for large enterprise clients

Pre‑Sales & Solution Architecture Experience

- Proven experience leading pre‑sales technical engagements , including discovery workshops, requirement analysis, architecture definition, and executive‑level presentations

- End‑to‑end ownership of solution shaping for data platform programs, covering:





- Current‑state assessment and gap analysis

- Target architecture and migration roadmap

- Effort estimation, sizing models, assumptions, risks, and dependencies

- Hands‑on 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

- Hands‑on experience architecting solutions on Databricks Lakehouse / Data Intelligence Platform , including:

- Batch and streaming ingestion patterns

- Medallion (Bronze / Silver / Gold) architecture

- Delta Lake‑based storage and processing

- Unity Catalog‑driven governance and security

- Strong experience designing cloud‑native 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 trade‑offs and architectural decisions to both technical and non‑technical 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 AI‑ready data platform archit

📌 Databricks Solution Architect - Pre Sales (Chennai)
🏢 Goavega
📍 Chennai