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# Data Architect

- **Company:** TEKSYSTEMS INC.
- **Location:** Charlotte, NC, United States
- **Experience:** Experienced
- **Salary:** $156,000.0 - $176,800.0
- **Contract:** Temporary to permanent
- **Skills:** Artificial Intelligence, Microsoft Azure, Code Review, Databases, Data Architecture, Information Engineering, Data Governance, Data Infrastructure, Data Integration, Extract Transform Load (ETL), Data Migration, Data Systems, Data Warehousing, Github, IBM Cognos Business Intelligence, Python (Programming Language), Metadata, Meta-Data Management, Scrum Methodology, Power BI, Standard Sql, Azure Machine Learning, SQL Databases, Data Streaming, Informatica Powercenter, Netezza, Large Language Models, Pyspark, Information Technology, Star Schema, Data Management, Network Server, Data Pipelines, Databricks
- **Published:** October 1, 2026
- **Apply:** https://www.beyondcharlotte.com/job.asp?id=3413455113&tx=FL333FFP&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

delivery is the primary metric for success. Qualifications 5-7 years of experience in Data Warehousing, Data Integration, Data Engineering, Data Architecture, or related disciplines. Hands-on experience building dimensional models (star schema, snowflake schema, fact and dimension tables). Ability to work effectively with teams across the enterprise. Strong SQL and database fundamentals. Proficient in Databricks and modern Databricks capabilities (Unity Catalog, Databricks One, Lakehouse architecture, AI/LLM capabilities, etc.). Experience working within the Azure ecosystem. Experience with Informatica PowerCenter, IICS, Cognos, and Netezza Performance Servers. Experience with Power BI, Azure ML, Databricks, or Synapse. Experience using PySpark, Python, or Scala. Experience with Azure DevOps and GitHub preferred. Property & Casualty insurance experience preferred. Excellent communication and problem-solving skills. Bachelor's degree in Computer Science or related engineering field
preferred.

Skills

Databricks development, databricks architecture, etl, informatica power center, data migration, data modeling, metadata, artificial intelligence, insurance

Top Skills Details

Databricks development,databricks architecture,etl,informatica power center,data migration,data modeling,metadata,artificial intelligence

Additional Skills & Qualifications

Insurance industry experience is a plus (handling those types/volumes of data)

Experience Level

Intermediate Level

## Description

Responsibilities Support the migration of legacy data platforms, including Informatica PowerCenter and SQL-based environments, into modern Databricks and Azure-based architectures. Build and support dimensional data models that drive reporting, analytics, and downstream business processes. Partner with development teams to understand existing ETL workflows and data integration patterns currently implemented in Informatica PowerCenter and help define future-state architecture. Establish and promote metadata management best practices, including data cataloging, column tagging, business definitions, lineage, and data governance standards. Drive data architecture decisions that improve discoverability, quality, governance, and usability of enterprise data assets. Hands-on development and support of Databricks and existing data applications. Work closely with business teams and analysts to understand data flows, business processes, and make recommendations on best practices and long-term
solutions for current issues and future system design. Partner with Application and Enterprise Architects to review low-level implementation designs and understand high-level data flow architectures. Provide direction to engineering teams implementing complex data solutions. Support design, development, code reviews, testing, deployment, and documentation of data engineering and integration applications. Maintain detailed documentation to support downstream integrations and operational continuity. Provide support for production issues and ensure stability of data pipelines Perform Scrum Master activities to drive delivery and team coordination. Contribute to the roadmap for migrating on prem systems to cloud native architectures Identify emerging technology trends and evaluate opportunities for adoption AI & LLM usage: Leverage Databricks' built-in LLM and AI capabilities for problem-solving, automation, and data platform modernization. Delivery excellence: Drive delivery outcomes