Data Archictect

Qualifications we are looking for:

Qualifications we are looking for:

• 10+ years of experience in Data Engineering, Data Architecture, Software Architecture, or a related technical discipline.
• Experience operating at a Principal, Architect, or equivalent senior technical level within enterprise-scale technology environments.
• Deep expertise in data modeling, including conceptual, logical, and physical data modeling.
• Proven ability to define enterprise data strategies and architecture roadmaps aligned with business objectives.
• Strong experience translating complex business requirements and domains into scalable, durable, and reusable data models.
• Experience designing data architectures for large-scale, distributed, and complex business environments.
• Strong hands-on experience with Databricks.
• Strong experience with Microsoft Azure data and cloud technologies.
• Strong knowledge of the Microsoft data ecosystem.
• Experience with relational and NoSQL database technologies and the ability to select appropriate data storage approaches based on business and technical requirements.
• Experience leading or contributing to large-scale data modernization, migration, or re-platforming initiatives.
• Strong understanding of data architecture within distributed systems, including data integration and service-to-service interactions.
• Experience defining data standards, architecture patterns, governance practices, and reusable models across engineering teams.
• Ability to work across Business, Product, Engineering, Architecture, and other technical teams to establish technical direction and drive alignment.
• Strong communication, strategic thinking, and technical leadership skills.
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Job duties:

• Define and lead the enterprise data strategy for a large-scale modernization initiative.
• Design and evolve conceptual, logical, and physical data models across complex business domains.
• Translate business and domain requirements into scalable data architecture and modeling strategies.
• Establish data architecture principles, standards, patterns, and reusable models for engineering teams.
• Lead the architectural approach for data modernization, migration, and transformation initiatives.
• Analyze complex data environments and identify opportunities for decomposition, consolidation, standardization, and modernization.
• Define scalable data architectures using Databricks, Azure, and the Microsoft data ecosystem.
• Guide decisions around relational and NoSQL data stores, data structures, integration patterns, scalability, and performance.
• Partner with Engineering and Solution Architects to align data models, application architecture, services, and business domains.
• Work closely with Product and Business stakeholders to understand business capabilities and translate them into enterprise data solutions.
• Provide technical direction and mentorship to Senior Data Engineers and other technical teams.
• Drive consistency and alignment of data architecture across multiple teams and workstreams.
• Identify data-related risks, dependencies, and architectural trade-offs and establish strategies to address them.
• Contribute to technical roadmaps and long-term evolution of the organization's data platform.
• Champion data quality, governance, scalability, security, and maintainability across the platform.