Databricks

4 years ago

Solutions Architect

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 12 hours agoStatus: Live

Job Summary

Partner with customers to design scalable data architectures using Databricks technology, guiding technical discussions across sales cycles and establishing yourself as a trusted advisor. You’ll develop account strategies, present reference architectures, and lead production data solutions while promoting Databricks open-source projects and collaborating with cross-functional teams to drive measurable outcomes.

Location: Toronto

Workplace: Remote

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

•Develop account strategies with Sales to grow adoption of the Databricks platform.
•Establish the Databricks Lakehouse architecture as the standard data architecture for customers through technical account planning.
•Build and present reference architectures and demo applications to help prospects understand how Databricks solves their goals and lands new use cases.
•Capture the technical win by consulting on big data architectures, data pipelines, and data science/ML projects; validate integrations with cloud services and third-party apps.
•Promote Databricks-inspired open-source projects (Spark, Delta Lake, MLflow, Koalas) across developer communities through meetups, conferences, and webinars.

Pay and Benefits

Salary: CAD 164,500 - 224,000 annually

Key Requirements

•5+ years in a customer-facing pre-sales, technical architecture, or consulting role with expertise in at least one of: Big data engineering (Spark, Hadoop, Kafka); Data Warehousing & ETL (SQL, OLTP/OLAP/DSS); Data Science and Machine Learning (pandas, scikit-learn, HPO); Data Applications (Logs Analysis, Threat Detection, Real-time Systems Monitoring)

Experience:5+ yearsData analyticsCloudSaaS

Skills:CommunicationPresentationCollaborationProblem-solvingCustomer-facing

Languages:English

Tech Stack:SparkHadoopKafkaSQLOLTPOLAPPythonScalaJavaRAWSAzureGCPDelta LakeMLflowKoalas

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

4 years ago

Solutions Architect

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 12 hours agoStatus: Live

Job Summary

Location: Toronto

Workplace: Remote

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

•Develop account strategies with Sales to grow adoption of the Databricks platform.
•Establish the Databricks Lakehouse architecture as the standard data architecture for customers through technical account planning.
•Build and present reference architectures and demo applications to help prospects understand how Databricks solves their goals and lands new use cases.
•Capture the technical win by consulting on big data architectures, data pipelines, and data science/ML projects; validate integrations with cloud services and third-party apps.
•Promote Databricks-inspired open-source projects (Spark, Delta Lake, MLflow, Koalas) across developer communities through meetups, conferences, and webinars.

Pay and Benefits

Salary: CAD 164,500 - 224,000 annually

Key Requirements

•5+ years in a customer-facing pre-sales, technical architecture, or consulting role with expertise in at least one of: Big data engineering (Spark, Hadoop, Kafka); Data Warehousing & ETL (SQL, OLTP/OLAP/DSS); Data Science and Machine Learning (pandas, scikit-learn, HPO); Data Applications (Logs Analysis, Threat Detection, Real-time Systems Monitoring)

Experience:5+ yearsData analyticsCloudSaaS

Skills:CommunicationPresentationCollaborationProblem-solvingCustomer-facing

Languages:English

Tech Stack:SparkHadoopKafkaSQLOLTPOLAPPythonScalaJavaRAWSAzureGCPDelta LakeMLflowKoalas

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