What are the responsibilities and job description for the Data Architect position at Sylvamo?
Position Summary:
As a Data Architect within the Global Center of Excellence (CoE), your primary purpose is to develop and activate an enterprise data architecture that supports both current and future business needs. You will ensure that data systems and processes are scalable, secure, and aligned with business objectives. This role involves collaborating with cross-functional teams to understand future state requirements and develop strategic roadmaps. Additionally, you will provide insights on global versus regional use of data and manage data both technically and from a business perspective. The position should be performed from a Sylvamo facility (mill or office).
Key Responsibilities:
Architecture & Design:
What: Develop and maintain enterprise-wide data architecture strategies, standards, and best practices.
How: Design scalable, secure, and high-performance data models and solutions that align with strategic goals, ensuring integrity and compliance.
Technology & Tools:
What: Evaluate, recommend, and implement data technology platforms and tools.
How: Lead proof-of-concepts and pilots of emerging data technologies to assess feasibility and impact on business processes.
Governance & Standards:
What: Collaborate with the Data Governance team to develop, optimize, and maintain data policies, standards, and procedures.
How: Ensure compliance with industry regulations and internal quality standards.
Collaboration & Communication:
What: Work closely with cross-functional teams to translate business requirements into comprehensive data solutions.
How: Provide thought leadership and mentor stakeholders on data architecture principles, driving education and advocacy throughout the organization.
Performance & Optimization:
What: Monitor and optimize data solutions to ensure high availability, reliability, and efficiency.
How: Identify opportunities to reduce data redundancy, increase data accessibility, and improve solution performance through best practices.
Innovation & Continuous Improvement:
What: Stay updated with the latest developments in data architecture, analytics, AI/ML, and cloud solutions.
Position Description:
How: Recommend innovative methods to solve business challenges and elevate the company’s data maturity.
Champion continuous improvement initiatives through pilots and proof-of-value projects.
Lead Innovation: Drive the adoption of cutting-edge data technologies and best practices.
Global Collaboration: Work with diverse teams across regions, enhancing your global perspective.
Professional Development: Engage in continuous learning and development opportunities.
Strategic Impact: Play a crucial role in aligning data architecture with business objectives and driving data maturity.
Required Skills and Knowledge:
Technical Skills/Technical Education
University Degree in similar field
Relevant experience in similar roles
Data Architecture: Strong background in data modeling, database design and data lake implementation
Cloud Environments: Experience with AWS, Azure, GCP
Data Warehousing: Expertise in Synapse, Oracle, Snowflake, Redshift, Big Query
Data Integration Tools: Knowledge in Data Factory, Informatica, Talend, SSIS.
Database Technologies: Knowledge of SQL/NoSQL, delta tables
Data Governance: Understanding of data security and privacy frameworks.
Interpersonal Skills
Fluent in English
Collaboration: Ability to work effectively with cross-functional teams.
Communication: Strong presentation and communication skills.
Problem-solving: Excellent strategic thinking and problem-solving abilities.
Leadership: Strong leadership and mentoring abilities.
Adaptability: Experience working in global or international organizations.
Competencies:
Humble
Entrepreneurial
Inclusive and Collaborative
Team Oriented
Agile
