Lead Data Architect

Job Description for Lead Data Architect As a Lead Data Architecture Specialist within our Global Data and Analytics team, you will play a crucial role in shaping the architecture and strategy for our organization's data management and analytics initiatives. You will work closely with cross-functional teams to design, implement, and optimize data architectures that support our business objectives and enable data-driven decision-making. This role requires deep expertise in data architecture principles, a strong understanding of emerging and open-source technologies, and the ability to translate business requirements into scalable and efficient data solutions. Responsibilities: 1. Data Architecture Design and Development: • Lead the design and development of scalable, flexible, and robust data architectures that support both current and future business needs. • Collaborate with business stakeholders, data engineers, and data scientists to understand requirements and translate them into architectural designs. • Define data models, schemas, and data flows to ensure data consistency, integrity, and accessibility acrossthe organization. • Evaluate and recommend new technologies, tools, and methodologies to enhance the data architecture and drive innovation. 2. Data Governance and Management: • Establish and enforce data governance policies, standards, and best practices to ensure data quality, security, and compliance with regulatory requirements. • Design and implement data management processes for data ingestion, transformation, storage, and retrieval. • Develop and maintain data dictionaries, metadata repositories, and data lineage documentation to facilitate understanding and traceability of data assets. 3. Performance Optimization and Scalability: • Identify performance bottlenecks and optimization opportunities within the data architecture and implement solutions to improve efficiency and scalability. • Conduct performance tuning, capacity planning, and workload management to ensure optimal performance of data processing and analytics applications. • Implement data partitioning, indexing, and caching strategies to enhance query performance and reduce latency. 4. Data Integration and Interoperability: Classification: Internal • Design and implement data integration solutions to facilitate seamless data exchange and interoperability between different systems, applications, and platforms. • Evaluate and integrate third-party data sources, APIs, and data services to enrich internal datasets and enhance analytical capabilities. • Implement data integration patterns such as batch processing, realtime streaming, and event-driven architectures. 5. Team Leadership and Collaboration: • Provide technical leadership and mentorship to junior members of the data architecture team. • Collaborate with cross-functional teams including data engineering, data science, IT operations, and business units to align data architecture initiatives with business goals and priorities. • Participate in Agile development processes, sprint planning, and backlog grooming activities. 6. Qualifications: • Bachelor's or Master's degree in Computer Science, Information Systems, or a related field. • 12+ years of experience in data architecture, data engineering, or a related role. • Deep understanding of data architecture principles, methodologies, and best practices. • Proficiency in data modeling, database design, and SQL. • Hands-on experience with OLTP, OLAP & data lake and lakehouse, ETL/ELT processes, and data integration technologies (e.g., Apache Kafka, Apache Flink, Rest/Graph API). • Strong knowledge of cloud platformssuch as Azure or Google Cloud Platform, and their service offerings. • Experience with data governance, data security, and regulatory compliance frameworks (e.g., GDPR, CCPA, PIPL etc). • Excellent analytical, problem-solving, and communication skills. • Ability to work effectively in a fast-paced, dynamic environment and manage multiple priorities simultaneously

Maersk is committed to a diverse and inclusive workplace, and we embrace different styles of thinking. Maersk is an equal opportunities employer and welcomes applicants without regard to race, colour, gender, sex, age, religion, creed, national origin, ancestry, citizenship, marital status, sexual orientation, physical or mental disability, medical condition, pregnancy or parental leave, veteran status, gender identity, genetic information, or any other characteristic protected by applicable law. We will consider qualified applicants with criminal histories in a manner consistent with all legal requirements.

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