Databricks

3 months ago

Sr. 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

Senior Solutions Architect who guides customers through data engineering, data science, and ML workloads using the Databricks Lakehouse Platform. Partners with sales to shape technical strategies, leads architecture discussions, and mentors customers and internal teams on best practices, cloud integrations, and open-source initiatives to drive data-driven outcomes for enterprise ecosystems.

Location: Bengaluru

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Sr. Manager level

Key Responsibilities

•Partner with the sales team and provide technical leadership to help customers understand how Databricks can help solve their business problems.
•Work directly with the sales team to develop the book of business, define account strategies, and execute those strategies to help customers and prospects solve their business problems with Databricks.
•Consult on Big Data architectures, implement proofs of concept for strategic projects, spanning data engineering, data science and machine learning, and SQL analysis workflows; validate integrations with cloud services, in-house tools, and third-party applications.
•Collaborate with fellow Solutions Architects to support each other and our users.
•Become an expert in, promote, and recruit contributors for Databricks-inspired open-source projects (Spark, Delta Lake, MLflow) across the developer community.

Travel: Low travel

Key Requirements

•8+ years in a data engineering, data science, technical architecture, or similar pre-sales/consulting role.
•8+ years of experience with Big Data technologies, including Apache Spark™, AI, Data Science, Data Engineering, Hadoop, Cassandra, and others.
•Coding experience in Python, R, Java, Apache Spark™ or Scala.
•Experience building distributed data systems.
•Have built solutions with public cloud providers such as AWS, Azure, or GCP.

Experience:8+ yearsBig dataData engineeringData scienceCloud computing

Skills:CommunicationLeadershipProblem-solving

Certifications:Databricks Certification

Languages:English

Tech Stack:PythonRJavaApache SparkScalaHadoopCassandraAWSAzureGCPSparkMLflowDelta Lake

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

3 months ago

Sr. 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: Bengaluru

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Sr. Manager level

Key Responsibilities

•Partner with the sales team and provide technical leadership to help customers understand how Databricks can help solve their business problems.
•Work directly with the sales team to develop the book of business, define account strategies, and execute those strategies to help customers and prospects solve their business problems with Databricks.
•Consult on Big Data architectures, implement proofs of concept for strategic projects, spanning data engineering, data science and machine learning, and SQL analysis workflows; validate integrations with cloud services, in-house tools, and third-party applications.
•Collaborate with fellow Solutions Architects to support each other and our users.
•Become an expert in, promote, and recruit contributors for Databricks-inspired open-source projects (Spark, Delta Lake, MLflow) across the developer community.

Travel: Low travel

Key Requirements

•8+ years in a data engineering, data science, technical architecture, or similar pre-sales/consulting role.
•8+ years of experience with Big Data technologies, including Apache Spark™, AI, Data Science, Data Engineering, Hadoop, Cassandra, and others.
•Coding experience in Python, R, Java, Apache Spark™ or Scala.
•Experience building distributed data systems.
•Have built solutions with public cloud providers such as AWS, Azure, or GCP.

Experience:8+ yearsBig dataData engineeringData scienceCloud computing

Skills:CommunicationLeadershipProblem-solving

Certifications:Databricks Certification

Languages:English

Tech Stack:PythonRJavaApache SparkScalaHadoopCassandraAWSAzureGCPSparkMLflowDelta Lake

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