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 organizations 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:

• 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

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

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

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

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

Qualifications: Bachelors or Masters 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 (eg, 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 (eg, 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