> Markdown version of [/jobs/ext/2983790-data-engineer-data-architect](https://www.wearedevelopers.com/jobs/ext/2983790-data-engineer-data-architect). 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).

---

# Data Engineer / Data Architect

- **Company:** Innova Software Services Inc.
- **Location:** Charlotte, NC, United States
- **Experience:** Expert
- **Salary:** $100,000.0 - $160,000.0
- **Contract:** Permanent contract
- **Skills:** Airflow, Amazon Web Services, Amazon S3, Business Analytics Applications, Microsoft Azure, Cloud Computing, Continuous Integration, Data Architecture, Information Engineering, Data Governance, Data Integration, Extract Transform Load (ETL), Data Warehousing, Python (Programming Language), Operational Databases, SQL Databases, Data Streaming, Technical Data Management Systems, Enterprise Data Management, Google Cloud, Data Ingestion, Azure Data Factory, Snowflake, Apache Spark, Git, Data Lakes, Pyspark, Information Technology, Deployment Automation, Integration Frameworks, Apache Kafka, Data Management, Data Lakehouse, Data Pipelines, Databricks
- **Published:** September 18, 2026
- **Apply:** https://www.careerjet.com/jobad/usb54ffa2128ed7a8583fd453bc4c87f10

## About the Role

Total Experience: 12+ years of progressive experience in Data Engineering, Data Architecture, or Enterprise Data Solutions.
Core Technologies: Databricks (Workspace, PySpark, Delta Lake, DLT, Unity Catalog, SQL, CI/CD), Apache Spark, Python, and advanced SQL.
Data Architecture: Expertise in Data Lakehouse, Data Warehousing, ETL/ELT design, and dimensional/reusable data modeling.
Cloud Infrastructure: Strong hands-on experience with major cloud platforms (Azure preferred; AWS or GCP highly valued) and integration tools (e.g., Azure Data Factory, ADLS, AWS S3, Glue, Snowflake, Kafka, Airflow).
Software Practices: Proficiency with Git, CI/CD automated deployments, and Agile/Scrum delivery.
Education: Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field., Databricks Certified Data Engineer / Data Architect.
Major Cloud Provider Certification (Azure / AWS / GCP).
Experience with P&C insurance platforms, master data management (MDM), and real-time streaming architectures.
Key Skills / Keywords
Senior Data Engineer, Data Architect, Databricks, Azure Databricks, Apache Spark, PySpark, Python, SQL, Delta Lake, Delta Live Tables, Unity Catalog, Lakehouse, ETL, ELT, Data Modeling, Data Architecture, Azure, AWS, GCP, Snowflake, Kafka, Insurance Domain, P&C Insurance, Claims, Policy, Underwriting, Data Governance, Data Integration.

## Description

We are seeking a highly experienced Senior Data Engineer / Data Architect with deep Databricks hands-on expertise and strong Insurance domain experience to design, build, and implement scalable enterprise data solutions.
The ideal candidate brings 12+ years of experience across Databricks, Apache Spark, Python, SQL, data architecture, and modern cloud platforms. You will collaborate with business stakeholders, cross-functional engineering teams, and analysts to architect next-generation data platforms and analytics solutions., Design, build, and optimize enterprise-scale data architecture and pipelines using Databricks, Apache Spark, Python, and SQL.
Architect robust data lakes, lakehouse platforms, and data warehouses utilizing Delta Lake, Delta Live Tables (DLT), Unity Catalog, and Databricks Workflows.
Develop high-performance batch and streaming ETL/ELT data pipelines, including data ingestion, transformation, cleansing, and validation.
Optimize Spark jobs, SQL queries, and complex workloads for high performance and cost efficiency.
Implement enterprise data governance, data quality standards, security policies, lineage, and access controls.
Translate complex business requirements into scalable technical data architectures and engineering solutions.
Troubleshoot production data issues, provide root-cause analysis, and mentor engineering team members.
Insurance Domain Responsibilities
Apply strong domain knowledge across Property & Casualty (P&C), Life, or Health Insurance data (e.g., Policy, Claims, Premium, Billing, Underwriting, Rating, Coverage, Loss, and Risk).
Integrate data across core insurance applications such as policy administration, claims management, underwriting engines, and billing systems., Description We are seeking a Transmission Line Engineer who will work as a member of a dynamic team working in a fast-paced environment, solving challenging problems involved wit…

 + 1 month ago
+


## Related Videos

- [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works)
- [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data)
- [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail)
- [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94)
- [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt)
- [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning)

## Related Articles

- [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)
- [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk)
- [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story)
- [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)
- [Best US AI Conferences for CTOs in 2026: Build vs. Buy, Vendor Evaluation, and Peer Intelligence](https://www.wearedevelopers.com/magazine/736-best-us-ai-conferences-for-ctos-in-2026-build-vs-buy-vendor-evaluation-and-peer-intelligence)
- [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know)