Enterprise Data Architect, Lead

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Job Description

The Enterprise Data Architect, Lead plays a crucial role in designing, implementing, and maintaining data integration solutions within our organization. This role collaborates with customers and cross-functional teams to ensure seamless data pipelines from customers’ systems. The expertise for this role will contribute to the organization’s overall strategy and architecture for data acquisition.

Job Duties

• Leads the enterprise application integration strategy and platform architecture
• Collaborates with customers to design and develop robust integration solutions with heterogeneous systems. Responsibilities include engaging with customers, creating architecture blueprints, and ensuring seamless integration with customers’ systems. Possesses strong communication skills, architectural expertise, and a focus on security considerations.
• Develops the IT strategy with regards to best practice for systems and applications integration
• Defines the high-level integration blueprint architecture that will service the business needs and wider business transformation
• Is responsible, overall, for the successful delivery of Integration projects
• Works with Development team to ensure alignment to the Architecture Principles, Architecture Blueprint, Design Principles and Patterns and Technology roadmap
• Provides new ideas and different approaches to the Chief Technology Officer and enterprise architecture team
• Facilitate knowledge sharing and provide technical guidance and mentorship to team members.
• Drive the recruitment process to build and grow a high-performing data engineering team

Accountabilities/Results/Success for this role   

• Successful design and deployment of scalable and secure data architectures and data pipelines.
• Enhanced data quality, efficiency, and accessibility across the organization.
• Effective execution of data integration projects, demonstrating strong project management skills and consistent delivery on time and within scope.
• Continuous improvement and adoption of emerging data technologies and practices.
• Creation of innovative, customer-focused data solutions that set the organization apart and add measurable value.

Measures

Targets (meets expectations)

Percentage of projects delivered on time: 80%

Team utilization: 80%

Data Solutions: 3

Required Qualifications/Skills/Competencies

• Proven experience in data architecture or a similar role, with a focus on data integration.
• Strong knowledge of data integration patterns, ETL, APIs, and messaging protocols (e.g., REST, SOAP).
• Demonstrated experience with enterprise database technologies and data modeling.
• Proficiency in SQL, Python, and other data processing languages.
• Experience with cloud-based data solutions (Azure, AWS, etc.) and big data technologies.
• Strong analytical and problem-solving skills.
• Excellent communication and collaboration abilities.

Preferred Qualifications

• Experience with data governance and compliance measures.
• Background in developing and deploying solutions in industrial or operational settings.

• Familiarity with SAP, Maximo, and other enterprise management systems.
• Knowledge of Cognite Data Fusion and other Cognite solutions.
• Understanding of microservices architecture and containerization (e.g. Docker, Kubernetes).

Equipment and Software Knowledge

• Expertise in data integration tools and platforms (e.g., Azure Data Factory, Informatica, Talend).
• Proficiency in big data platforms (Hadoop, Spark, etc.) and analytics tools (Power BI, Tableau).
• Familiarity with DevOps tools and practices (e.g. Azure DevOps).

Direct Reports

Data Engineers will report to this role