Solutions Architect - Data Platform

This is an opportunity with one of our clients.

Mode : Hybrid

Locations : :

- Work closely with customers to understand their business needs and challenges, translating them into actionable solutions.

- Lead onsite and virtual workshops with customers to design & develop prototypes/solutions in collaboration with engineering teams.

- Develop overall solutions including architecture, high-level design, statements of work, service design and bills of materials.

- Present Impetus products and services capabilities to prospects & partners and be their trusted technical solution advisor.

- Develop use case demonstrations and proofs of concept in collaboration with sales, customers and Impetus implementation teams.

- Lead technical responses to RFI/RFP.

- Create thought leadership through presenting at conferences, summits and events, writing, user group presentations and community involvement.

- Stay abreast of technology developments relevant to Impetus and its competitors, latest advancements in GenAI research and industry trends, contributing to the company's GenAI strategy.

- Provide knowledge transfer to the delivery teams to ensure a smooth handover from presales to delivery.

- Drive revenue through active participation in pipeline development, deal pursuit, and win strategies alongside the sales team.

- Build and maintain relationships with key customer stakeholders, acting as a long-term trusted advisor beyond individual deal cycles.

- Collaborate with Impetus product and engineering teams to channel customer feedback and market insights into the product roadmap.

Primary Skills :

Technical Skills :

- Experience in architecture & design and consulting services, focused on enterprise solutions, data analytics platform, lake houses, data engineering, data processing, data warehousing, ETL, Hadoop & Big Data.

- Experience in defining and designing data governance, data management and data security solutions for an enterprise across business verticals.

- Experience on at least one of the 3 major cloud platforms - AWS, Azure, GCP.

- Possess knowledge of cloud-based AI/ML services like AWS SageMaker, Azure Machine Learning, Google AI Platform, Databricks GenAI/BI, Snowflake GenAI and their relevant services for building and deploying GenAI/Agentic workloads.

- Familiarity with Agentic AI architectures, RAG (Retrieval-Augmented Generation) patterns, and vector databases, MCPs, Knowledge of MLOps / LLMOps practices.

- Experience with BI and visualization platforms (like Power BI, Tableau, Looker) and the ability to architect end-to-end analytics solutions from data platform to insight layer.

- Familiarity with real-time and streaming data and event-driven architecture patterns, data integration and ELT/ETL tooling.

- Working knowledge of compliance and regulatory frameworks relevant to target verticals (HIPAA, GDPR, SOC 2, PCI-DSS) and their implications for data architecture decisions.

Pre-Sales & Business Skills :

- Knowledge of market insight, technology trends and competitor intelligence.

- Experience in proposal management (RFP/RFI/RFQ etc.).

- Comfort with solution sizing, effort estimation, and the commercial aspects of pre-sales - including building bills of materials that are both technically sound and commercially competitive.

- Ability to actively position Impetus against competitors with a clear, confident point of view on differentiation.

(ref:hirist.tech)