Senior Manager leading a team of database engineers to manage CCC's data platform. Overseeing mission - critical applications and collaborating with cross - functional teams in a hybrid environment.
About the role
- As a Principal Data Architect at Solstice, lead the design and implementation of data architecture solutions. Ensure data integrity, security, and accessibility to meet strategic organizational goals.
Responsibilities
- 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. Facilitate 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.
Requirements
- Bachelor’s or a Master’s Degree in Computer Science, Engineering, Applied Mathematics or related field with 10+ 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, FiveTran.
- 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.
Benefits
- employer-subsidized Medical, Dental, Vision, and Life Insurance
- Short-Term and Long-Term Disability
- 401(k) match
- Flexible Spending Accounts
- Health Savings Accounts
- EAP
- Educational Assistance
- Parental Leave
- Paid Time Off (for vacation, personal business, sick time, and parental leave)
- 12 Paid Holidays
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