Senior Data Architect

• Lead the design and architecture of end-to-end data solutions, translating business strategy and requirements into scalable, secure, high-performing architectures.
• Define target-state data architectures and blueprints, including data flows, integration patterns, storage strategies, data processing, and consumption layers.
• Establish and govern standard architecture patterns for data ingestion, transformation (ETL/ELT), integration, interoperability, and data sharing across platforms and domains.
• Architect scalable and resilient data pipelines and workflows, optimizing for performance, cost, reliability, and operational efficiency.
• Design cloud-native data architectures that leverage modern data platforms for elasticity, resilience, modularity, and scalability.
• Enable AI/ML capabilities through data architectures that support experimentation, feature engineering, model development, deployment, and production consumption.
• Incorporate data governance, security, privacy, and compliance by design, including access controls, data classification, masking, lineage, and regulatory requirements.
• Design for interoperability and seamless data exchange across applications, data domains, platforms, and external systems.
• Lead the evaluation and selection of data technologies and platforms in partnership with IT, Enterprise Architecture, and business stakeholders, ensuring alignment with enterprise capabilities and strategy.
• Collaborate with Enterprise Architecture, Infrastructure, Application Development, Data Engineering, and business teams to define technology roadmaps, capabilities, and solution strategies.
• Provide architectural oversight and governance for data solutions and cloud-native data platforms, ensuring adherence to enterprise standards and addressing risks, gaps, dependencies, and architectural trade-offs.
• Drive innovation through feasibility assessments, POCs, and pilots, evaluating emerging technologies and validating new architectural approaches.
• Provide architectural oversight for vendor and third-party data solutions, ensuring alignment with enterprise architecture, security, integration, and data standards.
• Participate in architecture governance forums, contributing to design reviews, architecture decisions, approvals, and continuous improvement of enterprise data architecture.
• Mentor and guide data architects and engineers, promoting architecture best practices, design excellence, and continued capability development.
• 4+ years of experience in modern cloud data architecture or related fields, with a Bachelor’s degree in Computer Science or a related discipline.
• Deep understanding of modern data and analytics platforms and technologies, including Snowflake, Matillion, Microsoft Fabric, Power BI, Tableau, and other industry-leading solutions.
• Proven experience designing and delivering enterprise data solutions, including data warehousing, data lakes, lakehouse architectures, data management, integration, and analytics platforms.
• Extensive experience architecting end-to-end, scalable data platforms using modern cloud technologies, preferably Microsoft Azure, with experience in cloud-native, hybrid, or multi-cloud architectures.
• Strong ability to translate business requirements into scalable data architectures and solutions, with excellent communication skills to articulate complex technical concepts to technical and non-technical stakeholders.
• Strong understanding of data architecture patterns and technology capabilities across ingestion, storage, processing, analytics, APIs, and microservices, with the ability to evaluate and select appropriate technologies.
• Experience collaborating with vendors and third-party partners to deliver solutions aligned with enterprise architecture, security, and data standards.
• Strong foundation in data governance, data quality, security, privacy, and regulatory compliance within enterprise data environments.
• Excellent stakeholder management and communication skills, with the ability to influence decisions, facilitate collaboration, and drive alignment across cross-functional teams.

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