Bounteous

1 month ago

Databricks Solution Architect

✓ 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

Lead the architecture and delivery of a cloud-based data lakehouse on Databricks, guiding engineering, governance, and performance optimization across AWS/Azure/GCP. Partner with data science teams to productionize ML workloads, and set standards for ingestion, modeling, CI/CD, and cost efficiency.

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Sr. Manager level

Key Responsibilities

•Architect and lead the implementation of an enterprise lakehouse on Databricks across one or more clouds
•Design scalable batch and streaming data pipelines using PySpark, Spark SQL, Structured Streaming, and Delta Live Tables; establish ingestion patterns from operational systems, event streams, and third-party APIs
•Define and enforce platform standards for data modeling (medallion architecture), CI/CD, code quality, testing, observability, and cost optimization
•Lead the governance strategy using Unity Catalog—fine-grained access control, data lineage, audit, and PII handling—in collaboration with security and compliance
•Own Spark performance optimization and cost management (cluster sizing, Photon, autoscaling, file layout, Z-ordering, caching, query tuning) and collaborate with ML engineers to operationalize models using MLflow and feature stores

Pay and Benefits

Salary: USD 102,000 - 133,000 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
•Strong hands-on experience with Delta Lake, Unity Catalog, Databricks Workflows, and Delta Live Tables
•Production experience on at least one major cloud (AWS, Azure, or GCP), including networking, IAM, storage, and compute primitives
•Proficiency in Python and SQL; comfort with Scala is a plus

Experience:8+ yearsData engineeringDatabricksLakehouse

Skills:CommunicationLeadershipMentoringStakeholder management

Languages:English

Tech Stack:PySparkSpark SQLStructured StreamingDelta Live TablesDelta LakeUnity CatalogPhotonWorkflowsPythonSQLScalaMLflowTerraformDbxGitIAMS3ADLSGCSDatabricks

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

Databricks Solution Architect

✓ 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: United States

Workplace: Remote

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Sr. Manager level

Key Responsibilities

•Architect and lead the implementation of an enterprise lakehouse on Databricks across one or more clouds
•Design scalable batch and streaming data pipelines using PySpark, Spark SQL, Structured Streaming, and Delta Live Tables; establish ingestion patterns from operational systems, event streams, and third-party APIs
•Define and enforce platform standards for data modeling (medallion architecture), CI/CD, code quality, testing, observability, and cost optimization
•Lead the governance strategy using Unity Catalog—fine-grained access control, data lineage, audit, and PII handling—in collaboration with security and compliance
•Own Spark performance optimization and cost management (cluster sizing, Photon, autoscaling, file layout, Z-ordering, caching, query tuning) and collaborate with ML engineers to operationalize models using MLflow and feature stores

Pay and Benefits

Salary: USD 102,000 - 133,000 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
•Strong hands-on experience with Delta Lake, Unity Catalog, Databricks Workflows, and Delta Live Tables
•Production experience on at least one major cloud (AWS, Azure, or GCP), including networking, IAM, storage, and compute primitives
•Proficiency in Python and SQL; comfort with Scala is a plus

Experience:8+ yearsData engineeringDatabricksLakehouse

Skills:CommunicationLeadershipMentoringStakeholder management

Languages:English

Tech Stack:PySparkSpark SQLStructured StreamingDelta Live TablesDelta LakeUnity CatalogPhotonWorkflowsPythonSQLScalaMLflowTerraformDbxGitIAMS3ADLSGCSDatabricks

Company Brief

Bounteous

Industry: Consulting

Company Size: Enterprise (1,001+ employees)

Growth: Established Company

Headquarters: Chicago, United States

Founded: 2003

Website LinkedIn