Senior Solutions Architect

Databricks
Bengaluru
Workplace: HybridFull timeFunction: Solutions Engineering & Sales EngineeringExperience: 15+ yearsSkills: ["Technical leadership","Consulting","Customer-facing communication","Collaboration","Leadership"]

Shape customer data and AI architectures by partnering with sales and field engineering to translate business needs into solutions on the Databricks Lakehouse Platform. Provide technical leadership and guidance on big data, analytics, data engineering, and data science initiatives, including proof of concepts and integrations with cloud services and third-party tools. Collaborate across product and engineering to advance the roadmap, and contribute to open-source projects like Spark, Delta Lake, and MLflow.

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FursaFursa
Databricks
Databricks
2 days ago

Senior Solutions Architect

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Source: Company careers pageValidated by: Fursa AI
Last checked: 5 hours agoStatus: Live

Job Summary

Shape customer data and AI architectures by partnering with sales and field engineering to translate business needs into solutions on the Databricks Lakehouse Platform. Provide technical leadership and guidance on big data, analytics, data engineering, and data science initiatives, including proof of concepts and integrations with cloud services and third-party tools. Collaborate across product and engineering to advance the roadmap, and contribute to open-source projects like Spark, Delta Lake, and MLflow.
Location: Bengaluru
Workplace: Hybrid
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Partner with sales to provide technical leadership and help customers understand how Databricks solves business problems.
  • •Work with sales on account strategies, including developing a book of business to support prospects and customers.
  • •Consult on big data architectures, implement proof of concepts across data engineering, data science, and machine learning, and validate integrations.
  • •Collaborate with product and engineering to drive the Databricks roadmap forward and develop customer-facing architectures and solutions.
  • •Promote and recruit contributors for Databricks-inspired open-source projects such as Spark, Delta Lake, and MLflow.

Key Requirements

  • •15+ years in data engineering, data science, technical architecture, or a similar pre-sales/consulting role.
  • •10+ years working with big data technologies such as Apache Spark, Hadoop, Cassandra, and related tools.
  • •Strong consulting and customer-facing experience delivering solutions to external clients across industries.
  • •Coding experience with Python, R, Java, Apache Spark, or Scala.
  • •Experience building distributed data systems and delivering solutions using AWS, Azure, or GCP.
Experience:15+ yearsBig dataData engineeringData sciencePre-sales consulting
Skills:Technical leadershipConsultingCustomer-facing communicationCollaborationLeadership
Certifications:Databricks Certification
Languages:English
Tech Stack:Databricks Lakehouse PlatformApache SparkDelta LakeMLflowPythonRJavaScalaHadoopCassandraSQLAWSAzureGCPUnity Catalog

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
WebsiteLinkedIn