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# Informatica Powercenter

- **Company:** CareerCircle
- **Location:** Charlotte, NC, United States (Remote available)
- **Experience:** Experienced
- **Salary:** $156,000.0 - $176,800.0
- **Contract:** Temporary to permanent
- **Skills:** Artificial Intelligence, Data Analysis, Automation of Tests, Microsoft Azure, Cloud Engineering, Code Review, Information Systems, Databases, Customer Data Management, Data Architecture, Information Engineering, Data Governance, Data Infrastructure, Data Integration, Extract Transform Load (ETL), Data Migration, Data Systems, Data Warehousing, Data Flow Control, Github, IBM Cognos Business Intelligence, Python (Programming Language), Location Search Optimization, Metadata, Meta-Data Management, Scrum Methodology, Power BI, Standard Sql, Azure Machine Learning, Salesforce.Com, Scala (Programming Language), SQL Databases, Data Streaming, Digital Twin, Synapse Citrix, Enterprise Software Applications, Informatica Powercenter, Netezza, Large Language Models, Snowflake, Event Driven Architecture, Pyspark, Information Technology, Data Lineage, Star Schema, Data Management, Network Server, Data Pipelines, Databricks
- **Published:** September 30, 2026
- **Apply:** https://www.careercircle.com/jobs/all/all/usa/nc/charlotte/b23fbd90-1665-4dfe-b0bc-91e874b7daeb

## 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), Individual compensation offered for this position within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job-related factors.

## Description

PySpark
Netezza
Power BI
Dataflow
Equities
Metadata
Usability
Operations
Leadership
Automation
Governance
Databricks
Code Review
Informatica
Star Schema
Coordinating
Azure DevOps
Communication
Data Modeling
Systems Design
Data Migration
Data Pipelines
Synapse Citrix
Microsoft Azure
Problem Solving
Data Governance
Business Process
Computer Science
Data Integration
Data Warehousing
Data Engineering
Snowflake Schema
Data Architecture
Solutions Support
Business Valuation
Casualty Insurance
Insurance Industry
Workflow Management
Metadata Management
Emerging Technologies
Full Stack Development
Azure Machine Learning
Artificial Intelligence
Business Transformation
Informatica Powercenter
Cloud-Native Architecture
SQL (Programming Language)
Extract Transform Load (ETL)
Scrum (Software Development)
Scala (Programming Language)
Python (Programming Language), 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, Power BI
Marketing
Dashboard
Analytics
Operations
Leadership
Statistics
Forecasting
Data Science
Digital Twin
Data Lineage
Data Pipelines
Test Automation
Decision Making
Customer Service
Computer Science
Data Engineering
Data Architecture
Business Valuation
Information Systems
Marketing Analytics
Salesforce Datorama
Business Intelligence
Full Stack Development
Marketing Mix Modeling
Business Transformation
Self Service Technologies
Event Driven Architecture
SQL (Programming Language)
Snowflake (Data Warehouse)
Customer Data Platform (CDP)
Healthcare Industry Knowledge
Enterprise Application Software
Marketing Performance Measurement And Management
+0

Google Business Intelligence

Salesforce Developer
Data Architect
TEKsystems

Charlotte, NC*Remote

Github
On Prem
PySpark
Netezza
Power BI
Dataflow
Equities
Metadata
Usability
Operations
Leadership
Automation
Governance
Databricks
Code Review
Informatica
Star Schema
Coordinating
Azure DevOps
Communication
Data Modeling
Systems Design
Data Migration
Data Pipelines
Synapse Citrix
Microsoft Azure
Problem Solving
Data Governance
Business Process
Computer Science
Data Integration
Data Warehousing
Data Engineering
Snowflake Schema
Data Architecture
Solutions Support
Business Valuation
Casualty Insurance
Insurance Industry
Workflow Management
Metadata Management
Emerging Technologies
Full Stack Development
Azure Machine Learning
Artificial Intelligence
Business Transformation
Informatica Powercenter
Cloud-Native Architecture
SQL (Programming Language)
Extract Transform Load (ETL)
Scrum (Software Development)
Scala (Programming Language)
Python (Programming Language)
+0