Solution Architect

Netscribes; Pune District, Mumbai, Bengaluru; Híbrido; INR 1 500 000 - 3 200 000; Tempo integral

Resumo da oferta

Netscribes in Pune seeks a seasoned data engineering and AI solutions professional to lead client engagements, discovery sessions with CXOs, and design end-to-end data platforms.

You will own deals from discovery to closure, build reusable frameworks, and collaborate with Sales, Delivery and Practice to ensure profitable proposals.

Hands-on experience with lakehouse architectures on Azure Databricks or AWS Databricks, DBT, Power BI and cloud migration is preferred.

Qualificações

• 5-8 years of IT services or consulting experience.
• Proven pre-sales or solution management experience in data/AI.
• Strong modern data architecture knowledge: lakehouse, ELT/ETL, governance, BI.
• Experience with Azure + Databricks or AWS + Databricks.
• Ability to architect solutions and frameworks end-to-end.
• Strong proposal and pricing involvement.

Responsabilidades

• Lead discovery conversations with CXOs and data leaders to understand goals.
• Design end-to-end data ingestion, lakehouse, governance, BI solutions.
• Own the deal end-to-end from discovery to proposal and closure.
• Develop accelerators, reference architectures, and pitch materials.
• Handover won deals to delivery and maintain client relationships.
• Track hyperscaler roadmap changes and coordinate with partners.

Conhecimentos

Pre-sales

Solutioning

Data Engineering

Data Analytics

AI engagements

Lakehouse architecture

ELT/ETL

Azure Databricks

AWS Databricks

Communication skills

Proposal writing

Ferramentas

Databricks

Azure Data Factory

Synapse

Fabric

AWS Glue

dbt

Power BI

Tableau

Delta Lake

Unity Catalog

Spark

MLflow

Descrição da oferta de emprego

Key Responsibilities

Client engagement and discovery

• Lead technical and business discovery conversations with CXOs, data leaders and architects to understand goals, constraints and the current data landscape.
• Drive credible, consultative technical discussions on data platforms, analytics and AI use cases, and position our point of view against client priorities.

Solution architecture

• Design end-to-end solutions and reusable frameworks across data ingestion, lakehouse, data modelling, governance, BI and AI/ML on Azure + Databricks or AWS + Databricks.
• Define target-state architectures, migration and modernisation roadmaps, and effort and delivery approaches that delivery teams can execute.
• Run solution reviews, proof-of-concepts and demos with technical and business stakeholders.

Deal ownership, discovery to closure

• Own the pursuit end to end: discovery, solution design, estimation, proposal or RFP response, pricing inputs, negotiation support and closure.
• Work with Sales, Delivery, Practice and Finance leaders to build winning, deliverable and profitable proposals.
• Maintain pipeline hygiene, deal qualification and win/loss insights.

Practice and delivery enablement

• Build solution accelerators, reference architectures, case studies and pitch material for the practice.
• Hand over won deals smoothly to delivery, and stay engaged as a trusted advisor to protect scope, quality and client relationships.
• Track hyperscaler and Databricks roadmap changes, and work with partner teams on joint pursuits.

Required Qualifications and Skills

• 5-8 years of experience, with a strong IT Services or consulting background preferred.
• Proven experience in pre-sales, solutioning or solution management for Data Engineering, Data Analytics and AI engagements.
• Strong understanding of modern data architecture: lakehouse, ELT/ETL, streaming, data modelling, data governance and BI.
• Working experience with Azure + Databricks or AWS + Databricks (for example Delta Lake, Unity Catalog, Spark, workflows and MLflow).
• Demonstrated ability to architect solutions and frameworks, not just describe them.
• Track record of owning deals end to end: discovery, solution, proposal, pricing and closure.
• Excellent communication and presentation skills, with the confidence to lead technical conversations with client architects and senior business stakeholders.
• Strong written skills for proposals, RFP responses and solution documents.
• Ability to work across Sales, Delivery and Practice teams and manage multiple pursuits at once.

Good to Have

• Hands-on technical experience: PySpark, SQL, Python, or building PoCs and demos on Databricks.
• Exposure to Generative AI, ML and MLOps use cases on Databricks, Azure or AWS.
• Databricks, Azure or AWS certifications (for example Databricks Data Engineer / Architect, Azure Data Engineer, AWS Data Analytics).
• Experience with tools such as Azure Data Factory, Synapse or Fabric, AWS Glue or Redshift, dbt, Power BI or Tableau.
• Experience with cloud migration and data modernisation programmes, such as moving from legacy warehouses to a lakehouse.
• Exposure to Databricks or hyperscaler partner ecosystems and co-sell motions.