Lead data analysis, modeling, and program management within the Insights, Data Engineering & Analytics organization to ensure accurate and efficient data delivery.
Compensation
Starting base salary: $77,000 - $143,000 per year. Exact compensation may vary based on skills, experience, and location. This job is eligible for bonus and/or commissions.
Responsibilities
Lead data analysis via data discovery, exploration, investigation, and impact assessments
Conduct and lead data profiling and data preparation
Validate data against requirements and success criteria
Model data with Entity Relationship diagrams and data flow diagrams
Research business processes and document data inconsistencies
Solutions Engineer with strong Informatica platform experience and deep automation and integration engineering expertise to design, architect, and deliver end‑to‑end solutions for an enterprise data marketplace and broader data platform capabilities.
Responsibilities
Architect end‑to‑end data marketplace and data platform integrations spanning Informatica products and non‑Informatica enterprise tooling
Design scalable, secure, and reliable architectures with an automation‑first and integration‑by‑design mindset
Define reference architectures, integration patterns, and extensibility models for marketplace, metadata, governance, and data product use cases
Design and implement solutions using Informatica capabilities such as data integration, metadata management, data catalog, governance, data quality, and automation services
Configure and extend Informatica platforms to enable automated data product onboarding, discovery, lineage capture, access workflows, and marketplace interactions
Design and build pipelines and integrations for GEOINT data delivery supporting an NGA program, partnering with engineers to deliver reliable data across cloud and enterprise environments.
Responsibilities
Design, build, test, and maintain data pipelines and ETL/ELT workflows for analytics, reporting, and mission operations.
Develop and maintain API connectors and integrations that ingest data from internal platforms and external services.
Create and improve data models and processing workflows to meet performance, scale, and reliability needs.
Implement data validation, quality checks, monitoring, and documentation for assigned data products.
Work with mission stakeholders, analysts, and architects to clarify requirements and deliver maintainable solutions.
Requirements
Bachelor's degree in computer science, information systems, engineering, mathematics, or a related field
Consultant focused on designing, configuring, and implementing Data Governance, Data Catalog, and Data Quality solutions for enterprise clients.
Responsibilities
Build, configure, and deploy data governance solutions leveraging the DG platform tailored to complex enterprise requirements.
Configure data domains, org units, business glossaries, workflows, data classification, technical and semantic lineage to enforce data governance frameworks and policies.
Develop and customize DG integrations with enterprise systems through APIs, connectors, and data integration tools.
Perform data profiling, data quality validations, and data quality rules and scorecard build using best practices.
Troubleshoot, debug, and optimize DG workflows and integrations ensuring data accuracy, consistency, and process efficiency.
Koordinovat činnost datových architektů napříč jednotlivými doménami a řídit technologické portfolio v oblasti datových platforem a nástrojů.
Compensation
Každý rok na vás čeká 13. mzda, jako poděkování za vaši dobrou práci. Vyplácíme každoroční bonusy na základě hospodářských výsledků společnosti. Přispějeme vám na doplňkové penzijní spoření částkou 2000,- měsíčně.
Responsibilities
Koordinovat činnost datových architektů napříč jednotlivými doménami
Stanovovat strategii architektury Enterprise Data Managementu
Koordinovat analýzu, vývoj a implementaci Enterprise Data Management architektury napříč všemi doménami
Koordinovat tvorbu a využívání logických datových modelů business domén
Koordinovat vyhodnocování využití nových IT technologií a řídit technologické portfolio v oblasti datových platforem a nástrojů
Responsible for ensuring the data platform meets governance, privacy, and regulatory requirements, including cataloging, lineage, metadata, quality, classification, and audit documentation.
Responsibilities
Stand up and run the data catalog, lineage and metadata capture across all pipelines and models
Define data-quality rules, enforce them, and publish the validation and quality reports
Classify every dataset under the client's scheme and specify the access rules each level needs
Keep the governance document set current: architecture updates, data models, lineage, catalog, metadata, quality, security and access
Advise the data and ML engineers on privacy: masking, de-identification, retention
Requirements
Nice to have: DAMA CDMP
Nice to have: Government audits experience
Nice to have: Master-data or reference-data management
Consulting services for data governance and analytics solutions using SAP technologies, designing, configuring, and implementing data governance, data catalog and data quality solutions.
Responsibilities
Build, configure, and deploy data governance solutions leveraging the DG platform tailored to complex enterprise requirements.
Configure data domains, org units, business glossaries, workflows, data classification, technical and semantic lineage to enforce data governance frameworks and policies.
Develop and customize DG integrations with enterprise systems through APIs, connectors, and data integration tools.
Perform data profiling, data quality validations, and data quality rules and scorecard build using best practices.
Troubleshoot, debug, and optimize DG workflows and integrations ensuring data accuracy, consistency, and process efficiency.
Requirements
Bachelor of Technology
MBA
Nice to have: Professional certification in DG/DQ tools
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