The Director, Data Engineering will oversee the data strategy for Commercial Products Supply (CPS), focusing on strategic planning and the global delivery of value-driven insights. This role is crucial in bridging business challenges with technological solutions, enabling predictive analytics and data-driven decisions throughout the organization. Combining hands-on data framework development with team leadership, the Director will foster best-in-class data ingestion and transformation practices while aligning with broader organizational goals like cost management, streamlined working capital and operational excellence. **What You'll Do for Us:** + **Mentor and Lead** : Foster a collaborative environment that encourages continuous learning, professional growth, and innovation. Guide Big Data teams in designing, architecting, and implementing end-to-end solutions. + **Collaborative Development** : Participate actively in software and system design and development using agile methodologies with Azure Data Services (Synapse, ADF, Spark/Databricks, PowerBI, etc.) to serve up data for analysis and predictive insights. + **Optimized Data Modeling** : Develop logical, conceptual, and physical models tailored for diverse personas, enhancing analytical needs while optimizing Azure services for various workloads and cost-efficiency (batch, streaming, ad-hoc queries, ETL, ML etc.). + **Streamline Data Systems** : Simplify complex and fragmented enterprise data systems by refining data flows and eliminating unnecessary costs, driving efficiency across CPS. + Manage own learning and contribute to technical skill building of the organization. + Inspire and cultivate the engineering mindset and systems thinking within the team. + Ensure conceptual and architectural integrity of the platform and solution. + **Strategic and Technical Balance** : Maintain a balance between hands-on development (50%) and strategic leadership (50%) to adapt strategies in response to technological advances and business needs. **Qualifications & Requirements**   + Bachelor's degree in Computer Science or a related field. + Experience in distributed computing and big data architectures. + Proven experience in developing data solutions with Azure Data Services (Synapse, Databricks, etc). + Highly proficient in SQL + Hands-on experience with Spark and Delta Lake. + Hands-on experience with workload orchestration and automation tools like ADF, AutoSys, RunMyJobs, Control-M etc. + Deep knowledge in data modeling and hands-on experience in designing, implementing and tuning ELT workloads. + Exceptional written and verbal communication skills.  + Persuasive with strong strategic and analytical abilities. + DevOps: Appreciates the CI and CD model and always builds to ease consumption and monitoring of the system. **What We Can Do for You:** + **Leadership Development:** Our Company's purpose clearly speaks to the importance of leadership. We feel everyone has potential to be a great leader at Coca-Cola and have set the bar high. + **Total Rewards:** Our benefits, called Total Rewards, is about the total value of working at The Coca-Cola Company. It is focused on the complete package of pay, benefits, learning and personal support you receive as a Coca-Cola employee. + **Learning & Development:** At The Coca-Cola Company we believe innovation can't happen without continuous learning and we provide our employees many ways to grow professional and personally. The Coca-Cola Company will not offer sponsorship for employment status (including, but not limited to, H1-B visa status and other employment-based nonimmigrant visas) for this position. Accordingly, all applicants must be currently authorized to work in the United States on a full-time basis and must not require The Coca-Cola Company's sponsorship to continue to work legally in the United States. Pay Range:$167,000 - $187,000 Base pay offered may vary depending on geography, job-related knowledge, skills, and experience. A full range of medical, financial, and/or other benefits, dependent on the position, is offered. Annual Incentive Reference Value Percentage:30 Annual Incentive reference value is a market-based competitive value for your role. It falls in the middle of the range for your role, indicating performance at target. We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state or local protected class.