Databricks

1 day ago

Solutions Architect

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 23 hours agoStatus: Live

Job Summary

Serve as a trusted technical advisor to named enterprise accounts within a GCC Field Engineering team. Help shape customers’ data and AI strategy by designing GenAI and ML architectures, validating build-vs-buy decisions, and turning AI ambitions into production on the Databricks Data Intelligence Platform. Lead hands-on lakehouse solution design, implement proofs of concept, partner closely with sales and engineering, and promote Databricks open-source contributions across the developer community.

Location: Pune

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

•Act as a trusted technical advisor for named strategic accounts, influencing key architectural decisions across data, AI/ML, and platform engineering
•Partner to help customers define and execute AI strategy, designing GenAI and ML architectures and supporting production deployments on Databricks
•Collaborate with sales and provide hands-on technical leadership to help enterprise customers address business problems across the data and AI lifecycle
•Consult on modern lakehouse architectures and deliver proofs of concept across data engineering, data warehousing, machine learning, and GenAI
•Work with sales and account teams to develop account strategy and support consistent architectural guidance across regions

Travel: Medium travel

Key Requirements

•12+ years in data engineering, data science, technical architecture, or a similar pre-sales/consulting role
•8+ years hands-on experience with Big Data and AI technologies, including Apache Spark and modern AI/ML workloads
•Strong hands-on architectural experience to whiteboard and personally build end-to-end solutions
•Experience working with large enterprise or Fortune 500 customers, including supporting global accounts
•Coding experience in Python, SQL, Scala, Java, or R

Experience:Big DataAIData engineeringData scienceSaaS

Skills:Consultative problem-solvingCustomer-facing leadershipStrategic advisoryCollaborationThought leadership

Certifications:Databricks Certification

Languages:English

Tech Stack:Apache SparkDelta LakeMLflowUnity CatalogLakehouseGenAIPythonSQLScalaJavaRAWSAzureGCP

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

Loading job details...

Preparing the role view and application actions.

Databricks

1 day ago

Solutions Architect

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 23 hours agoStatus: Live

Job Summary

Location: Pune

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

•Act as a trusted technical advisor for named strategic accounts, influencing key architectural decisions across data, AI/ML, and platform engineering
•Partner to help customers define and execute AI strategy, designing GenAI and ML architectures and supporting production deployments on Databricks
•Collaborate with sales and provide hands-on technical leadership to help enterprise customers address business problems across the data and AI lifecycle
•Consult on modern lakehouse architectures and deliver proofs of concept across data engineering, data warehousing, machine learning, and GenAI
•Work with sales and account teams to develop account strategy and support consistent architectural guidance across regions

Travel: Medium travel

Key Requirements

•12+ years in data engineering, data science, technical architecture, or a similar pre-sales/consulting role
•8+ years hands-on experience with Big Data and AI technologies, including Apache Spark and modern AI/ML workloads
•Strong hands-on architectural experience to whiteboard and personally build end-to-end solutions
•Experience working with large enterprise or Fortune 500 customers, including supporting global accounts
•Coding experience in Python, SQL, Scala, Java, or R

Experience:Big DataAIData engineeringData scienceSaaS

Skills:Consultative problem-solvingCustomer-facing leadershipStrategic advisoryCollaborationThought leadership

Certifications:Databricks Certification

Languages:English

Tech Stack:Apache SparkDelta LakeMLflowUnity CatalogLakehouseGenAIPythonSQLScalaJavaRAWSAzureGCP

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