Bounteous

1 month ago

Lead Databricks Engineer/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

Lead the design, build, and scale of a cloud-based Databricks lakehouse platform. Own end-to-end data architecture across petabyte-scale datasets, partner with ML and analytics teams to productionize workloads, mentor engineers, and set standards for ingestion, governance, and performance across AWS, Azure, or GCP.

Location: Canada

Workplace: Remote

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Sr. Manager level

Key Responsibilities

•Architect and lead the enterprise lakehouse on Databricks across one or more clouds; own end-to-end architecture and roadmap for the data platform.
•Design scalable batch and streaming data pipelines using PySpark, Spark SQL, Structured Streaming, and Delta Live Tables; establish ingestion patterns from operational systems and streams.
•Define and enforce platform standards for data modeling, CI/CD, code quality, testing, observability, and cost optimization.
•Lead governance using Unity Catalog—fine-grained access control, data lineage, audit, and PII handling—in partnership with security and compliance.
•Mentor data engineers, lead architecture and code reviews, and drive engineering practices to raise the bar across the team.

Pay and Benefits

Salary: USD 115,000 - 150,000 annually

Key Requirements

•8+ years of data engineering experience with 4+ years building production workloads on Databricks
•Deep expertise in Apache Spark (PySpark and Spark SQL) including performance tuning and partitioning strategies
•Strong hands-on experience with Delta Lake, Unity Catalog, Databricks Workflows, and Delta Live Tables
•Production cloud experience (AWS, Azure, or GCP) including networking, IAM, storage, and compute primitives
•Proficiency in Python and SQL; familiarity with Scala is a plus

Experience:8+ yearsData engineeringDatabricksLakehousePySparkSpark SQLDelta LakeUnity CatalogDatabricks WorkflowsDelta Live TablesPythonSQLScala

Skills:LeadershipMentoringCommunicationStakeholder managementTeam leadership

Languages:English

Tech Stack:DatabricksDelta LakeUnity CatalogPhotonWorkflowsPySparkSpark SQLStructured StreamingDelta Live TablesPythonSQLScalaTerraformDbxMLflowIAMS3ADLSGCS

Eligibility

Work Authorization:Sponsorship available.

Company Brief

Bounteous

Bounteous is a digital experience consultancy that designs, builds, and optimizes digital products, platforms, and customer experiences for enterprise brands across marketing, commerce, and analytics.

Industry: Consulting

Company Size: Enterprise (1,001+ employees)

Growth: Established Company

Headquarters: Chicago, United States

Founded: 2003

Website LinkedIn

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Bounteous

1 month ago

Lead Databricks Engineer/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: Canada

Workplace: Remote

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Sr. Manager level

Key Responsibilities

•Architect and lead the enterprise lakehouse on Databricks across one or more clouds; own end-to-end architecture and roadmap for the data platform.
•Design scalable batch and streaming data pipelines using PySpark, Spark SQL, Structured Streaming, and Delta Live Tables; establish ingestion patterns from operational systems and streams.
•Define and enforce platform standards for data modeling, CI/CD, code quality, testing, observability, and cost optimization.
•Lead governance using Unity Catalog—fine-grained access control, data lineage, audit, and PII handling—in partnership with security and compliance.
•Mentor data engineers, lead architecture and code reviews, and drive engineering practices to raise the bar across the team.

Pay and Benefits

Salary: USD 115,000 - 150,000 annually

Key Requirements

•8+ years of data engineering experience with 4+ years building production workloads on Databricks
•Deep expertise in Apache Spark (PySpark and Spark SQL) including performance tuning and partitioning strategies
•Strong hands-on experience with Delta Lake, Unity Catalog, Databricks Workflows, and Delta Live Tables
•Production cloud experience (AWS, Azure, or GCP) including networking, IAM, storage, and compute primitives
•Proficiency in Python and SQL; familiarity with Scala is a plus

Experience:8+ yearsData engineeringDatabricksLakehousePySparkSpark SQLDelta LakeUnity CatalogDatabricks WorkflowsDelta Live TablesPythonSQLScala

Skills:LeadershipMentoringCommunicationStakeholder managementTeam leadership

Languages:English

Tech Stack:DatabricksDelta LakeUnity CatalogPhotonWorkflowsPySparkSpark SQLStructured StreamingDelta Live TablesPythonSQLScalaTerraformDbxMLflowIAMS3ADLSGCS

Eligibility

Work Authorization:Sponsorship available.

Company Brief

Bounteous

Industry: Consulting

Company Size: Enterprise (1,001+ employees)

Growth: Established Company

Headquarters: Chicago, United States

Founded: 2003

Website LinkedIn