Databricks

1 month ago

Sr. Delivery Solutions Architect

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 5 hours agoStatus: Live

Job Summary

Senior delivery-focused technical leader driving post-sales success for Databricks customers. Combines pre/post-sales technical architecture with executive stakeholder engagement to accelerate production adoption, onboarding, and value realization across complex use cases in data & AI.

Location: Bengaluru

Workplace: Hybrid

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Sr. Manager level

Key Responsibilities

•Engage with Solutions Architects to understand the full use case demand plan for prioritised customers.
•Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts.
•Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks.
•Be the first contact for any technical issues or questions related to production/go live status of agreed upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations.
•Navigate Databricks Product and Engineering teams for new product Innovations, private previews and upgrade needs.

Travel: Low travel

Key Requirements

•15+ years of experience where you have been accountable for technical project / program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with customers.
•Programming experience in Python, SQL or Scala.
•Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role.
•Understanding of solution architecture related distributed data systems.
•Can travel up to 30% when needed.

Experience:15+ yearsData & AICloudEnterprise software

Education:Bachelor's

Skills:CommunicationProblem-solvingStakeholder management

Languages:English

Tech Stack:PythonSQLScala

Company Brief

Databricks

Provides a unified data analytics platform powered by Apache Spark to simplify building, deploying, and scaling data engineering, data science, and machine learning workloads for enterprises.

Industry: Data Infrastructure

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series E+

Headquarters: San Francisco, United States

Founded: 2013

Website LinkedIn

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Databricks

1 month ago

Sr. Delivery Solutions Architect

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 5 hours agoStatus: Live

Job Summary

Location: Bengaluru

Workplace: Hybrid

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Sr. Manager level

Key Responsibilities

•Engage with Solutions Architects to understand the full use case demand plan for prioritised customers.
•Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts.
•Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks.
•Be the first contact for any technical issues or questions related to production/go live status of agreed upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations.
•Navigate Databricks Product and Engineering teams for new product Innovations, private previews and upgrade needs.

Travel: Low travel

Key Requirements

•15+ years of experience where you have been accountable for technical project / program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with customers.
•Programming experience in Python, SQL or Scala.
•Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role.
•Understanding of solution architecture related distributed data systems.
•Can travel up to 30% when needed.

Experience:15+ yearsData & AICloudEnterprise software

Education:Bachelor's

Skills:CommunicationProblem-solvingStakeholder management

Languages:English

Tech Stack:PythonSQLScala

Company Brief

Databricks

Provides a unified data analytics platform powered by Apache Spark to simplify building, deploying, and scaling data engineering, data science, and machine learning workloads for enterprises.

Industry: Data Infrastructure

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series E+

Headquarters: San Francisco, United States

Founded: 2013

Website LinkedIn