Databricks

2 months ago

Senior Forward Deployed Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 11 hours agoStatus: Live

Job Summary

Senior, customer-facing technical advisor guiding strategic customers through data and AI transformation using the Databricks platform. Leads large technical delivery teams, designs end-to-end architectures, and collaborates with partners to migrate on-premise to cloud Databricks Lakehouse, while communicating complex concepts clearly and traveling for onsite engagements in India.

Location: Bengaluru

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

•Serve as a trusted technical advisor to strategic customers and guide data and AI transformation initiatives on the Databricks platform.
•Lead large, cross-functional delivery teams and coordinate with partner organizations to deliver complex programs for customers.
•Design end-to-end big data solutions, including migration from on-premise or other clouds to Databricks Lakehouse.
•Communicate complex technical concepts clearly to non-technical stakeholders and provide hands-on guidance as needed.

Travel: Low travel

Key Requirements

•10+ years of experience with Big Data Technologies such as Apache Spark™, Kafka, and Data Lakes in a customer-facing post-sales, technical architecture, or consulting role.
•4+ years of experience as a Solution Architect creating designs, solving Big Data challenges for customers.
•Expertise in Apache Spark, distributed computing, and Databricks platform capabilities.
•Comfortable writing code in Python, PySpark, and Scala.

Experience:10+ yearsBig DataSparkDatabricksAzure

Skills:CommunicationLeadershipProblem-solvingPresentationClient management

Languages:English

Tech Stack:PythonPySparkScalaSQLSpark SQLSparkApache SparkDatabricksDelta LakeAzureNoSQLMongoDBRedisHBaseUnity CatalogRBACMLflowTensorFlowPyTorchScikit-learn

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

Senior Forward Deployed Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 11 hours agoStatus: Live

Job Summary

Location: Bengaluru

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

•Serve as a trusted technical advisor to strategic customers and guide data and AI transformation initiatives on the Databricks platform.
•Lead large, cross-functional delivery teams and coordinate with partner organizations to deliver complex programs for customers.
•Design end-to-end big data solutions, including migration from on-premise or other clouds to Databricks Lakehouse.
•Communicate complex technical concepts clearly to non-technical stakeholders and provide hands-on guidance as needed.

Travel: Low travel

Key Requirements

•10+ years of experience with Big Data Technologies such as Apache Spark™, Kafka, and Data Lakes in a customer-facing post-sales, technical architecture, or consulting role.
•4+ years of experience as a Solution Architect creating designs, solving Big Data challenges for customers.
•Expertise in Apache Spark, distributed computing, and Databricks platform capabilities.
•Comfortable writing code in Python, PySpark, and Scala.

Experience:10+ yearsBig DataSparkDatabricksAzure

Skills:CommunicationLeadershipProblem-solvingPresentationClient management

Languages:English

Tech Stack:PythonPySparkScalaSQLSpark SQLSparkApache SparkDatabricksDelta LakeAzureNoSQLMongoDBRedisHBaseUnity CatalogRBACMLflowTensorFlowPyTorchScikit-learn

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