Principal Data Platform Developer

CLEAResult

. Build and maintain Databricks Asset Bundles for ingestion, transformation, product and orchestration jobs .

Posted 11/6/2026full-timeRemote • Texas • United StatesLead💰 $141,900 - $212,900 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data engineering with a focus on Databricks, including building and maintaining data pipelines, enforcing governance standards, and deploying infrastructure as code. Proficient in Python, SQL, and PySpark, with strong communication skills to collaborate with technical and business stakeholders.

Highest-signal resume keywords

Databricks Asset BundlesPython ProgrammingSQL ProficiencyUnity Catalog GovernanceGit-Based CI/CD

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringPySparkDelta LakeDelta Live TablesTerraformLLM WorkflowsData IngestionData TransformationData GovernanceDebugging

Soft Skills

Clear CommunicationDocumentation SkillsCollaboration

Tools & Technologies

DatabricksGitHub ActionsSalesforceAzureFoundation-Model Endpoints

Industry Keywords

PII TaggingABAC MaskingData ProductsStakeholder ReportingTransportation Regulations

Tech Stack

Tools & technologies

AzurePySparkPythonSQLTerraformUnity

About the role

Key responsibilities & impact

Build and maintain Databricks Asset Bundles for ingestion, transformation, product and orchestration jobs
Follow bundle standards and CI/CD processes using GitHub Actions and service principals across development and production
Run Salesforce Lakeflow Connect ingestion across client organizations
Handle sandbox re-authentication and field-level-security column-loss issues without breaking PII-tagged silver tables
Enforce Unity Catalog governance, including grants, PII tagging, ABAC masking and table-level access
Build document-processing and retrieval pipelines using foundation-model endpoints for classification, detection and inference
Build reporting marts and data products supporting business KPIs and stakeholder reporting
Evaluate and select LLM serving endpoints through model bake-offs and deprecation migrations
Debug failing pipelines and jobs
Document known defects and runbooks for the team

Requirements

What you’ll need

3+ years in data engineering, with hands-on production experience on Databricks
Strong Python, SQL and PySpark
Experience with Delta Lake and Delta Live Tables/Lakeflow
Experience with Unity Catalog governance: grants, tagging, column masking and row filters
Experience deploying data infrastructure as code using Databricks Asset Bundles, Terraform or similar
Git-based CI/CD experience
Familiarity with Salesforce data models and CRM ingestion patterns
Experience building or integrating LLM workflows, including prompting, retrieval/RAG and model evaluation, is a strong plus
Working knowledge of Azure, including identity, service principals and storage
Bachelor’s degree in computer science, engineering or a related field, or equivalent experience
Clear communication and documentation skills
Ability to work with technical and business stakeholders
If applicable, meet all DOT qualification requirements and comply with applicable transportation regulations
Must be authorized to work in the country where the position is located without employer sponsorship or support
Successful hires must pass pre-employment checks

Benefits

Comp & perks

Medical, Dental, and Vision Insurance
Company-paid health care concierge service
401(k) with company match
Paid vacation, sick, personal and parental leave time
Paid Volunteer Time
Employee Recognition Program – convert recognition points into gift cards
Employee Assistance Program
Access to on-demand training courses