Enterprise Architect - Data Strategy

Changing Futures Through Digital Transformation!

Title: Enterprise Architect - Data Strategy

Job Summary:

• The Enterprise Architect – Data Strategy leads the design and implementation of the organization's enterprise-wide technology infrastructure.
• Aligns technology strategy with business objectives, overseeing architecture development, and ensuring the integration of new technologies into the existing IT landscape.
• Collaborates closely with stakeholders to define and implement data strategies that support analytical and reporting needs.

Job Description:

• Catalogs, develops, and maintains enterprise architecture models, initiatives, and standard components.
• Creates comprehensive EA blueprints, develop roadmaps for technology transitions, and oversee the implementation of enterprise-wide technology solutions.
• This role requires leadership in architecture governance, risk management, and technology evaluation, ensuring scalability, resilience, and performance of IT systems.
• Defines and implements a data strategy and roadmap working closely with business domains.
• Defines policies and establishes standards for modeling, structuring, naming, describing, securing, and formatting data.
• Works with business and IT leadership to define and document the data architecture for enterprise data assets.
• Develops conceptual, logical, and physical data models with associated metadata including data lineage and technical data definitions.
• Provides direction and guidance in the implementation of data warehouses, marts, cubes, lakes and universes to support analytic and reporting needs
• Leads efforts to implement a reference data and master data management strategy in close collaboration with Data & Performance team.
• Designs and develops end to end robust, scalable data ingestion pipelines and data platform architecture.
• Launches and supports new data models that provide intuitive analytics to internal customers
• Prototypes new technologies and implement innovative solutions to enable teams to consume and understand data faster.

Skills / Qualifications Required:

• Bachelor’s degree or equivalent in Computer Science, Computer Engineering, Information Systems, or similar (Master’s degree preferred)
• Extensive experience in IT architecture design, implementation, and management
• In-depth knowledge of enterprise architecture frameworks (e.g., TOGAF, Zachman)
• Strong understanding of business processes and ability to align technology solutions with business strategies
• Proficiency in architectural modeling tools and techniques
• Excellent analytical and problem-solving skills
• Strong communication and interpersonal skills
• Project management skills with the ability to prioritize and execute multiple initiatives
• Experience with cloud-based architectures and integration technologies (e.g., AWS)
• 5+ years of working as an Enterprise Architect and minimum of 10 years working in IT and technology role.
• Ability to architect and build an end to end data platforms with hands-on experience in enterprise-scale data warehousing, data architecture, and/or data engineering environments.
• Experience of designing, implementing, and building pipelines (ETL) that deliver data with measurable quality under the SLA.
• Must have knowledge of database technologies (HANA, Snowflake, Oracle, AWS Redshift, AWS RDS, AWS Aurora, Hive, DynamoDB, MongoDB etc.) and visualization tools (Tableau, Power BI, Qlik, etc.).
• Knowledge of Data Management, Integration and Data Quality tools spanning No-code, low-code and code-first methodologies, such as: Alteryx, Trifacta, Informatica Power Center, Informatica Cloud, Databricks etc.
• Knowledge of Master Data Governance / Management technologies (e.g SAP MDG, Reltio)
• Experience of real-time/near real-time/event driven microservices solutions and Database Migration and replication services such as AWS DMS, Qlik replicate.
• Strong understanding of core infrastructure components (servers, network, storage).
• Experience with Enterprise Data Governance, Big Data Solutions, Master data management, Data Privacy and Security, Machine Learning, and Data Pipeline Operations.
• Experience with building analytic solutions applicable to Sales, Finance, Product, Supply Chain and Marketing organizations in an enterprise.
• Experience implementing operational best practices such as monitoring, alerting, metadata management.
• Experience managing, measuring, improving data quality in a data warehouse.

Skills / Qualifications Desired:

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