Data Architect

• Develop and maintain the enterprise architecture vision and strategy, ensuring alignment with business objectives for Corporate Functions data architecture
• Create and maintain architectural roadmaps that guide the evolution of IT systems and capabilities for Corporate Functions data architecture
• Establish and enforce architectural standards, policies, and governance frameworks
• Evaluate emerging technologies and assess their potential impact on the solution architecture
• Identify and mitigate architectural risks, ensuring that IT systems are scalable, secure, and resilient
• Maintain comprehensive documentation of the architecture, including principles, standards, and models
• Drive continuous improvement in the architecture by finding opportunities for innovation and efficiency
• Work with partners to gather and analyze requirements, ensuring that solutions meet both business and technical needs
• Evaluate and recommend technologies and tools that best fit the solution requirements for Corporate Functions Data needs
• Ensure seamless integration between systems and platforms, both within the organization and with external partners
• Design systems that can scale to meet growing business needs and performance demands
• Design and manage metadata structures to enhance information retrieval and usability

• Master’s degree or Bachelor’s degree in Computer Science, Business, Engineering, IT or related field
• 9+ years of relevant work experience
• Strong architectural design and modeling skills
• Proficiency in Python, PySpark, and Scala for data processing and ETL workflows, with hands-on experience in using Databricks for building ETL pipelines and handling big data processing
• Experience with data warehousing platforms such as Amazon Redshift, or Snowflake
• Strong knowledge of SQL and experience with relational databases
• Familiarity with big data frameworks like Apache Hadoop, Spark, and Kafka for handling large datasets
• Experience directing solution design, business processes redesign and aligning business requirements to technical solutions in a regulated environment

• Strong solution design and problem-solving skills
• Strong understanding of data modeling, data warehousing, and data integration concepts
• Understanding of machine learning pipelines and frameworks for ML/AI models
• Experience in developing differentiated and deliverable solutions
• Databricks Certified
• AWS Certified Data Engineer
• Excellent critical-thinking and problem-solving skills
• Strong communication and collaboration skills
• Demonstrated awareness of how to function in a team setting
• Demonstrated awareness of presentation skills

Competitive and comprehensive Total Rewards Plans that are aligned with local industry standards