Solution Architect - Data Engineering (Azure Databricks)
Automate your job search with Sonara.
Submit 10x as many applications with less effort than one manual application.1
Reclaim your time by letting our AI handle the grunt work of job searching.
We continuously scan millions of openings to find your top matches.

Overview
Remote
On-site
Compensation
$75-$75/hour
Job Description
Solution Architect - Data Engineering (Azure Databricks)Location: Remote Rate: $75/hr on C2CIndent: PSL303558-141-5Role SummaryWe 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]Key Responsibilities1. 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
- 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
- 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
- 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
- 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
- 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
- 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)
Automate your job search with Sonara.
Submit 10x as many applications with less effort than one manual application.

FAQs About Solution Architect - Data Engineering (Azure Databricks) Jobs at PeopleNTech LLC
What is the work location for this position at PeopleNTech LLC?
This job at PeopleNTech LLC is located in Santa Clara, CA, according to the details provided by the employer. Some roles may also include multiple work locations depending on the requirement.
What pay range can candidates expect for this role at PeopleNTech LLC?
Candidates can expect a pay range of $75–$75 per hour for this role.
What employment applies to this position at PeopleNTech LLC?
The employer has not provided this information. This may be discussed during the hiring process.
What is the process to apply for this position at PeopleNTech LLC?
You can apply for this role at PeopleNTech LLC either through Sonara's automated application system, which helps you submit applications 10X faster with minimal effort, or by applying manually using the direct link on the job page.