> Markdown version of [/jobs/ext/4628806-solution-architect-data-engineering-azure-databricks](https://www.wearedevelopers.com/jobs/ext/4628806-solution-architect-data-engineering-azure-databricks). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Solution Architect - Data Engineering (Azure Databricks)

- **Company:** Peoplentech Llc
- **Location:** Santa Clara, CA, United States (Remote available)
- **Salary:** $156,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Application Frameworks, Architectural Patterns, Microsoft Azure, Cloud Engineering, Continuous Integration, Data Architecture, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Systems, Data Warehousing, Software Design Patterns, DevOps, Machine Learning, Online Analytical Processing, Online Transaction Processing, Role-Based Access Control, DataOps, Enterprise Data Management, Azure Data Factory, Apache Spark, Multi-Cloud, Git, Data Layers, Data Lakes, Pyspark, Kubernetes, Data Management, Machine Learning Operations, Data Pipelines, Databricks
- **Published:** November 7, 2026
- **Apply:** https://www.thejobnetwork.com/job/a523c6c2-63e6-4c60-aea6-0b3efdc17036/solution-architect-data-engineering-azure-databricks

## About the Role

* Strong experience in:
 + Azure Databricks (Mandatory) - PySpark, Delta Lake
 + Cloud Architecture (Azure preferred)
 * Deep expertise in:
 + Data Architecture & Data Modeling (OLTP, OLAP, Dimensional)
 + Lakehouse / Data Warehouse design patterns
 * Hands-on experience with:
 + ETL/ELT pipelines and orchestration frameworks
 + CI/CD and DevOps practices (Azure DevOps, Git)

## Description

We are seeking a Solution Architect (Contractor) to design and drive enterprise-scale data engineering architectures on Azure Databricks and cloud platforms. This role will define end-to-end data solutions, architecture patterns, and engineering standards to support analytics, AI/ML, and operational use cases.
The ideal candidate will combine deep technical expertise with strong business alignment, enabling scalable, secure, and high-performing data platforms.
Solution architecture is critical to ensuring standardized, scalable, and governed data ecosystems across domains and use cases [NextGen Da...quirements | Meeting], 1. Architecture & Solution Design

 * Define and implement end-to-end data architecture (ingestion * transformation * consumption)
 * Design scalable Lakehouse architectures (Databricks, Delta Lake)
 * Develop reference architectures, reusable frameworks, and design patterns
 * Align architecture with performance, scalability, security, and cost optimization goals

 2. Data Modeling & Domain Architecture
 * Define canonical data models, dimensional schemas, and semantic layers
 * Architect enterprise data across domains:
 + Claims, Member, Provider, Eligibility
 * Ensure data consistency, interoperability, and reuse across teams

 3. Azure Databricks & Cloud Enablement
 * Architect solutions using:
 + Azure Databricks (Mandatory)
 + Azure Data Services (ADF, ADLS, Synapse)
 * Guide engineering teams on:
 + Spark optimization, Delta Lake design, and data pipeline best practices
 * Enable multi-cloud integrations when required

 4. Governance, Security & Compliance
 * Define and enforce:
 + Data governance frameworks (lineage, quality, metadata)
 + Access control, RBAC, and data security policies
 * Ensure compliance with:
 + HIPAA, HITRUST, and enterprise regulatory standards
 * Establish data quality SLAs and auditability mechanisms

 5. Engineering & Platform Alignment
 * Work closely with:
 + Data Engineering teams
 + Platform Engineering teams
 + AI/ML Engineering teams
 * Provide architectural oversight for pipelines, workflows, and platform capabilities
 * Drive standardization across CI/CD, DataOps, and MLOps practices

 6. Stakeholder & Business Engagement
 * Collaborate with business, product, and analytics teams to:
 + Translate requirements into scalable technical solutions
 * Lead architecture reviews, design approvals, and governance forums (ARB)
 * Communicate architecture decisions and trade-offs to leadership