Databricks

2 months ago

Sr Forward Deployed Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Provide senior-level data engineering and cloud architecture guidance to Databricks customers on big data projects. As a Resident Solutions Architect in Professional Services, you’ll design reference architectures, lead end-to-end deployments, train client teams, and translate complex data challenges into scalable Databricks solutions across AWS, GCP, and Azure, traveling within India for onsite engagements.

Location: India

Workplace: Remote

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

•Lead end-to-end big data projects for customers, including design, build and deployment of Databricks-based solutions.
•Architect and design data pipelines, reference architectures, and production-grade MVPs for client engagements.
•Collaborate with Engineering and Customer Support to provide feedback and guide issue resolution during engagements.
•Guide strategic customers through migrations and transformations, ensuring successful adoption of Databricks platforms.
•Travel for onsite customer engagements within India as required.

Travel: Low travel

Key Requirements

•10+ years experience with Big Data Technologies such as Apache Spark™, Kafka, Cloud Native and Data Lakes in a customer-facing post-sales, technical architecture or consulting role.
•6+ years of experience working on Big Data Architectures independently.
•Strong experience working in the Databricks ecosystem.
•Comfortable writing code in either Python or Scala.
•Experience working across Cloud Platforms (GCP / AWS / Azure).

Experience:10+ yearsBig dataData engineeringCloudDatabricksApache SparkKafka

Skills:PythonScalaSparkKafkaCloudGCPAWSAzureData lakesArchitectureTrainingDocumentation

Languages:English

Tech Stack:PythonScalaApache SparkKafkaGCPAWSAzureDatabricksData Lakes

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 Forward Deployed Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Location: India

Workplace: Remote

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

•Lead end-to-end big data projects for customers, including design, build and deployment of Databricks-based solutions.
•Architect and design data pipelines, reference architectures, and production-grade MVPs for client engagements.
•Collaborate with Engineering and Customer Support to provide feedback and guide issue resolution during engagements.
•Guide strategic customers through migrations and transformations, ensuring successful adoption of Databricks platforms.
•Travel for onsite customer engagements within India as required.

Travel: Low travel

Key Requirements

•10+ years experience with Big Data Technologies such as Apache Spark™, Kafka, Cloud Native and Data Lakes in a customer-facing post-sales, technical architecture or consulting role.
•6+ years of experience working on Big Data Architectures independently.
•Strong experience working in the Databricks ecosystem.
•Comfortable writing code in either Python or Scala.
•Experience working across Cloud Platforms (GCP / AWS / Azure).

Experience:10+ yearsBig dataData engineeringCloudDatabricksApache SparkKafka

Skills:PythonScalaSparkKafkaCloudGCPAWSAzureData lakesArchitectureTrainingDocumentation

Languages:English

Tech Stack:PythonScalaApache SparkKafkaGCPAWSAzureDatabricksData Lakes

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