Data Architect (34580)

• 8+ years of experience in Data Architecture, Data Engineering, and Analytics, operating across both strategic and hands-on delivery roles.
• Proven ability to design conceptual, logical, and physical data architectures, including defining As-Is and To-Be states and building executable data roadmaps.
• Strong hands-on experience designing and building ETL pipelines, data integrations, and data migration solutions across legacy and modern platforms.
• Advanced Python development for data extraction, transformation, automation, and analytics; strong SQL across multiple database technologies.
• Solid understanding of Big Data concepts, including data lakes, Hadoop ecosystem fundamentals, and the 4 V’s (Volume, Velocity, Variety, Veracity).
• Experience leading or supporting analytics and BI platform migrations, including lifting and shifting on-prem Tableau environments to the cloud.
• Hands-on experience with BI and reporting tools such as Tableau (on-prem & cloud), Power BI, and SAP BI / Business Objects.
• Demonstrated ability to work directly with Finance, BI, Reporting, and business stakeholders, translating business requirements into scalable data solutions.
• Experience implementing data catalogues, metadata management, data governance, and database/storage strategies aligned with security and best practices.
• Exceptional communication and stakeholder-facing skills, with a high degree of autonomy, self-direction, and ability to explain complex data concepts to non-technical audiences.
• 8+ years of experience in Data Architecture, Data Engineering, and Analytics, operating across both strategic and hands-on delivery roles.
• Proven ability to design conceptual, logical, and physical data architectures, including defining As-Is and To-Be states and building executable data roadmaps.
• Strong hands-on experience designing and building ETL pipelines, data integrations, and data migration solutions across legacy and modern platforms.
• Advanced Python development for data extraction, transformation, automation, and analytics; strong SQL across multiple database technologies.
• Solid understanding of Big Data concepts, including data lakes, Hadoop ecosystem fundamentals, and the 4 V’s (Volume, Velocity, Variety, Veracity).
• Experience leading or supporting analytics and BI platform migrations, including lifting and shifting on-prem Tableau environments to the cloud.
• Hands-on experience with BI and reporting tools such as Tableau (on-prem & cloud), Power BI, and SAP BI / Business Objects.
• Demonstrated ability to work directly with Finance, BI, Reporting, and business stakeholders, translating business requirements into scalable data solutions.
• Experience implementing data catalogues, metadata management, data governance, and database/storage strategies aligned with security and best practices.
• Exceptional communication and stakeholder-facing skills, with a high degree of autonomy, self-direction, and ability to explain complex data concepts to non-technical audiences.

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