Data Warehouse Architect

Job Description

Come build, innovate, disrupt, and thrive!

KēSTA I.T is actively seeking a Data Warehouse Architect foran immediate contract engagement with our client.

Job Description:

We Are Seeking an experienced Data Warehouse Architect to lead the architecture and modernization of enterprise data platforms, data warehouses, and analytics environments. This role will develop target-state data platform architectures, establish enterprise data strategies, and guide the design of Data, Analytics, and Machine Learning products aligned with business objectives, data governance, security, and data-sharing requirements. The ideal candidate will bring extensive experience in enterprise architecture, modern data technologies, cloud-based data platforms, and data engineering practices, along with a proven ability to lead architectural initiatives, evaluate emerging technologies, and drive large-scale technology decisions.

Responsibilities:

· Develop and maintain enterprise data platform architectures that are scalable, reliable, secure, and aligned with business, application, and technology strategies.

· Lead the development of enterprise data landscapes, data strategies, target-state architectures, and architectural approaches using established frameworks such as TOGAF, FEAF, or DODAF.

· Establish and maintain reference architectures, architecture patterns, standards, and best practices for enterprise data platforms.

· Conduct architectural reviews, identify exceptions to established standards, and manage remediation efforts to maintain architectural integrity.

· Lead the modernization of enterprise data warehouse and analytics platforms through the adoption of cloud-based data services, analytical technologies, and emerging data capabilities.

· Oversee the design and implementation of modern data platform components, including data storage, streaming, orchestration, data processing, and analytics services.

· Architect Data, Analytics, and Machine Learning products and pipelines that align with enterprise architecture, data strategy, governance, security, and data-sharing requirements.

· Evaluate emerging data technologies through Proofs of Concept, technical demonstrations, codathons, and vendor co-development initiatives.

· Lead technology evaluations and support enterprise decision-making by assessing the capabilities, benefits, risks, and feasibility of emerging data platform technologies.

· Guide the establishment and implementation of enterprise data platforms across cloud service provider environments, ensuring the technology stack supports both proof-of-concept activities and production data engineering workloads.

· Lead RFI/RFP and technology procurement activities related to data platforms, cloud services, and data engineering technologies.

· Partner with technology vendors to evaluate, develop, and implement innovative enterprise data platform capabilities.

· Design and maintain data services portfolios and data products based on industry standards and organizational data engineering capabilities.

· Establish data governance practices covering data quality, metadata management, security, compliance, and responsible use of enterprise data.

· Ensure data governance standards are incorporated into data engineering products, Data/Analytics/ML pipelines, and operational processes.

· Establish and enforce data security standards and best practices throughout data platforms, pipelines, and analytical products.

· Collaborate with engineering, analytics, security, architecture, and business stakeholders to translate strategic objectives into technical solutions and implementation roadmaps.

· Provide architectural guidance to data engineering teams and help establish repeatable delivery methodologies, engineering standards, and best practices.

· Monitor architectural adherence across data engineering products and pipelines and support teams in improving technical and delivery maturity.

· Identify opportunities to modernize legacy data environments and guide technology refresh initiatives.

· Research emerging technologies and industry capabilities to identify opportunities for improving enterprise data…