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Senior Data Innovation Leader
3 weeks ago
We are seeking an experienced Enterprise Data Architect to drive our organization's data strategy and shape how data is designed, governed, and leveraged across the business.
This senior, hands-on role involves building a new Customer Data Platform (CDP) while partnering with multiple data teams and business units to deliver scalable, secure, and future-ready solutions.
- Define and evolve enterprise-wide data strategy, architecture, and patterns across the Azure stack.
- Lead the design of scalable, secure, cloud-based data platforms, ensuring strong foundations for ingestion, transformation, storage, and analytics.
- Architect and oversee the build of a new Customer Data Platform, enabling cross-business collaboration and data-driven customer engagement.
- Partner with engineering teams, product leaders, and business stakeholders to align data capabilities with organizational goals.
- Champion data governance, privacy, and security across multiple business units.
- Provide technical leadership to data engineers and solution teams, ensuring consistency in design and delivery.
- Stay ahead of industry trends, evaluating emerging technologies and bringing forward new ideas for data innovation.
- Extensive experience as a Data or Enterprise Architect in complex, transformation-driven environments.
- Deep technical expertise in Azure data services (Azure Data Lake, Databricks, Synapse, Purview, Fabric, etc).
- Strong background in designing and delivering enterprise-scale data platforms and integration patterns.
- Track record of enabling advanced analytics, AI/ML, and data science through robust architecture.
- Experience working in or alongside consulting environments highly regarded.
- Excellent communication and influencing skills, with the ability to engage stakeholders at all levels.
- Strong strategic mindset, balanced with a hands-on approach when needed.
- Opportunity to work on a cutting-edge Customer Data Platform.
- Collaborative environment with diverse skill sets and perspectives.
- Chance to develop and implement innovative data strategies and solutions.
- Competitive salary and benefits package.
- Professional growth and development opportunities.