Jobs → Data & Analytics → Data Architect

About the Role We are seeking a highly skilled and strategic Data Architect to support the development and implementation of our enterprise data strategy, governance framework, and supporting technical architecture. This role involves collaborating with various teams to define and deliver scalable data solutions that align with business goals and compliance requirements. Key Responsibilities • Design and evolve the enterprise data architecture to support business strategy and digital transformation initiatives • Define the roadmap for data platforms, including data lakes, data warehouses, pipelines, and APIs • Ensure the architecture supports scalability, interoperability, and performance across analytics, applications, and operational systems • Partner with business and compliance stakeholders to design and implement a comprehensive data governance framework • Define data ownership, stewardship, metadata standards, and data quality rules • Establish and maintain data catalogs and lineage documentation • Lead the selection, design, and implementation of modern data platforms (cloud or hybrid), including integration tools, ETL/ELT pipelines, MDM, and data security technologies • Collaborate with SysOps and security teams to ensure secure, resilient, and cost-effective infrastructure • Translate business needs into enterprise data models, logical/physical data designs, and scalable pipelines • Define standards, patterns, and best practices for data modeling, ingestion, transformation, and access • Support use case delivery (e.g., analytics, AI/ML, BI, regulatory reporting) through design guidance and hands-on architecture • Act as the data strategy thought partner to executive and operational stakeholders • Mentor data analysts and teammates on architectural and governance standards • Advocate for data literacy and responsible data practices across the organization Requirements • Expertise in cloud data platforms (e.g., AWS, Azure, GCP), data modeling, and data warehousing (e.g., Snowflake, Redshift, BigQuery) • Strong knowledge of data governance frameworks (e.g., DAMA-DMBOK, DCAM), data privacy standards (e.g., GDPR, CCPA), and security best practices • Experience with modern data tools such as dbt, Kafka, Airflow, Informatica, Talend, or similar