Enterprise Data Architect

Key ResponsibilitiesDesign and maintain the enterprise data architecture, including conceptual, logical, and physical data modelsDefine data standards, policies, and governance frameworks to ensure data quality, consistency, and complianceLead the integration of data across multiple systems, platforms, and business unitsArchitect scalable data solutions using modern cloud platforms (AWS, Azure, or GCP)Collaborate with Data Engineering, Analytics, Security, and Application teams to align data strategiesEstablish best practices for data storage, ETL/ELT pipelines, and data lifecycle managementEvaluate and recommend data technologies, tools, and frameworksEnsure data architecture supports analytics, AI/ML initiatives, and enterprise reporting needsSupport migration of legacy systems to modern data platformsDevelop and maintain data architecture documentation and reference modelsPartner with business stakeholders to translate requirements into scalable data solutions3–5 years of experience in data architecture, data engineering, or related rolesStrong expertise in data modeling (relational, dimensional, and NoSQL)Hands-on experience with cloud data platforms (Snowflake, Azure Synapse, AWS Redshift, Google BigQuery, etc.)Deep understanding of ETL/ELT tools and data integration patternsExperience with data governance, data security, and compliance frameworksProficiency with SQL and data pipeline designExperience working with large-scale enterprise systems and distributed data environmentsStrong understanding of APIs, microservices, and event-driven architectures