Databricks

2 months 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: 2 hours agoStatus: Live

Job Summary

Delivery Solutions Architect at Databricks leads post-sale technical engagement across strategic accounts, blending hybrid technical and commercial work. You’ll partner with sales, field engineering, and professional services to accelerate adoption, drive onboarding and production deployment, and deliver CTO-level guidance to maximize ROI of Databricks workloads across multiple use cases.

Location: Mumbai

Workplace: Hybrid

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: 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
•Create, own and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals

Travel: Low travel

Key Requirements

•10+ years of experience accountable for technical project/program delivery within Data and AI domains
•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:10+ yearsData & AICloudDatabases

Education:Bachelor's

Skills:CommunicationLeadershipProblem-solving

Languages:English

Tech Stack:PythonSQLScalaDelta LakeMLflowDatabricks

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

2 months 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: 2 hours agoStatus: Live

Job Summary

Location: Mumbai

Workplace: Hybrid

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: 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
•Create, own and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals

Travel: Low travel

Key Requirements

•10+ years of experience accountable for technical project/program delivery within Data and AI domains
•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:10+ yearsData & AICloudDatabases

Education:Bachelor's

Skills:CommunicationLeadershipProblem-solving

Languages:English

Tech Stack:PythonSQLScalaDelta LakeMLflowDatabricks

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