

Data Warehouse Architect
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Warehouse Architect on a long-term contract in Austin, TX, offering a pay rate of "X". Requires 8+ years in Informatica ETL, data architecture, and MDM, with on-site work expected.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
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ποΈ - Date discovered
June 12, 2025
π - Project duration
More than 6 months
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ποΈ - Location type
On-site
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
Austin, Texas Metropolitan Area
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π§ - Skills detailed
#Data Processing #Scala #Data Modeling #Databases #Data Extraction #Data Aggregation #Data Quality #Data Storage #Data Architecture #MDM (Master Data Management) #EDW (Enterprise Data Warehouse) #"ETL (Extract #Transform #Load)" #Metadata #SQL (Structured Query Language) #Data Mapping #Storage #Data Management #Data Warehouse #SSIS (SQL Server Integration Services) #Data Lineage #Informatica #Data Engineering #Data Cleansing #Data Integration #Data Pipeline
Role description
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Neos is seeking a Informatica Data Architect for a long-term contract with our client in Austin, TX.
The Informatica data engineer/architect is responsible for designing, developing, and maintaining the infrastructure and systems required for data storage, processing, and analysis. They play a crucial role in building and managing the data pipelines that enable efficient and reliable data integration, transformation, and delivery for all data users across the enterprise.
Responsibilities:
β’ Designs and develops Informatica ETL jobs and schedules to extract, transform, and load data from various sources into the enterprise data warehouse
β’ Develops, implements and maintains ETL processes, including logic for data integrations, workflows and mappings, master data management (MDM), data lineage, data cleansing and data aggregation
β’ Modifies and configures ETL processes to accommodate changes in source systems and new business requirements
β’ Monitors ETL pipelines for performance and troubleshoot issues
β’ Integrates data from different sources, including databases, data warehouses, APIs, and external systems
β’ Ensures data consistency and integrity during the integration process, performing data validation and cleaning as needed
β’ Designs, implements, and optimizes data warehouse architecture and data models
β’ Transforms raw data into a usable format by applying data cleansing, aggregation, filtering, and enrichment techniques
β’ Optimizes data pipelines and data processing workflows for performance, scalability, and efficiency
β’ Translates high-level business requirements into data models and appropriate metadata, test data, and data quality standards
β’ Develops and maintains SQL scripts for data transformation and loading
β’ Develops detailed and summary dashboards and reports for mastered data and for data quality
β’ Refreshes, automates and streamlines the data pipeline and enterprise data warehouse processes
β’ Trains staff on Informatica workflows and mappings, Informatica master data management, Informatica dashboards and reports, and support and maintenance
Qualifications:
β’ 8 years Required: Full life cycle development, architecture and implementation, of an enterprise data warehouse
β’ 8 years Required: Complex Informatica ETL and ELT development and testing including for workflows and mappings
β’ 8 years Required: Informatica ETL design and development including integration with MS SSIS control and data flow, data source, and package configurations
β’ 8 years Required: Hands-on experience with data warehouse technologies and concepts in data architecture, data integration, data extraction, data cleansing, data mapping, data transformation, data loading, data modeling, data validation rules, and data lineage
β’ 8 years Required: Informatica Master Data Management (MDM) including mastering data domains from disparate systems into a consolidated and deduplicated master golden record
β’ 8 years Required: Developing standard operating procedures, solution design documents, data maps, and technical diagrams
β’ 8 years Required: Dimensional modeling and design, including following best practices for enterprise data warehouse development
β’ 8 years Required: Data engineering for a scalable, flexible data pipeline including the development of an enterprise data warehouse
β’ 8 years Required: Experience developing operational data stores including gathering, documenting, and implementing data model requirements
β’ 8 years Required: Analysis, design, and development of Informatica dashboards and reports
β’ 8 years Required: Training of staff on Informatica workflows and mappings, Informatica master data management, Informatica dashboards and reports, and support and maintenance