Lead Data Architect

Job Description

As a Lead Data Architect at Solstice Advanced Materials (SAM), you will spearhead the strategic development and implementation of data architectures. Your expertise in data management and integration will drive our data-driven initiatives. Leading a team of data architects, you will align strategies with organizational objectives, establish enterprise-wide data governance, quality frameworks, and security protocols, and mentor teams to achieve high performance, scalability, and security in ETL processes, data pipelines, and integration planning.

You will report to the Director IT of Gen AI, Data & Analytics Leader who oversees our enterprise data strategy, delivery, and platform operations.

Join us and make a significant impact on data architecture, ensuring high performance, scalability, and security. You will lead the design and optimization of ETL processes, data pipelines, and integration planning, with initiatives focused on high-performance database management and scalability.

• Design and implement enterprise-wide data strategies and architectural frameworks to optimize data integrity, accessibility, and usability.
• Lead the development of data governance policies, standards, and compliance protocols, ensuring alignment with regulatory requirements.
• Collaborate with cross-functional stakeholders to derive actionable intelligence from organizational data assets and facilitate the Data and Analytics Steering Committee.
• Architect scalable and innovative data integration and management platforms, leveraging best-in-class solutions.
• Oversee and enhance core data infrastructure and associated tools to support seamless business operations.
• Create clear operating principles to drive strategic adoption of the Enterprise Data Warehouse as a single, governed source of truth.
• Ensure robust data security practices and privacy controls are implemented and maintained across all data environments.
• Champion data-driven decision-making initiatives, aligning insights with strategic business goals.
• Lead, develop, and mentor a team of data experts, fostering professional growth and technical excellence.
• Cultivate an inclusive and collaborative workplace culture, promoting both individual success and team cohesion.
• Apply advanced analytical and problem-solving skills to address intricate data architecture challenges.
• Deliver high-impact presentations and communicate technical concepts effectively to diverse executive and business audiences.
• Demonstrate knowledge in SAP systems and their alignment with critical business functions and process optimization.
• Possess hands-on exposure to Generative AI and ML tools shaping industry advancements.

• Bachelor’s or a Master’s Degree in Computer Science, Engineering, Applied Mathematics or related field with 5+ years of experience in Data Architecture or related fields.
• Experience in data management, integration, and architecture with written communication skills and the ability to create straightforward documentation.
• Experience with Enterprise scale Data Warehouses such as Snowflake.
• Demonstrated experience with ETL/ELT processes, data pipelines, and data replication with tools such as IICS, Five Tran.
• Hands-on experience with big data technologies, SQL, and API ecosystems.
• Deep knowledge of data engineering and data modeling concepts for both relational database management systems (RDBMS), schema-less databases, and data lakes.
• Expertise in data governance, data classification, security protocols, and compliance standards.

• Experience influencing nontechnical as well as technical teams and mentoring junior engineers in complex technical environments.
• Strong ability to simplify and quantify business processes by collaborating with business stakeholders to drive consensus across diverse teams on definitions and terminology that form the Critical Data Elements for operational efficiency.
• Experience and domain knowledge of enterprise systems of records such as SAP for ERP, Salesforce for CRM, and associated end-to-end processes.
• Background in enterprise domains such as Commercial, Finance, Supply Chain, Customer Experience, and others.
• Workin…