Databricks Gen AI Architect

Position title: Databricks Gen AI Architect

Location: Dallas,TX

Duration: 12 plus months with possible extension

Job description:
Enterprise Data Architect or Data Modelling Lead will play a critical role in shaping the future of our data capabilities as part of strategic and critical Enterprise Data Transformation (EDT) program. We're seeking a visionary, hands-on leader to drive the build out of a modern enterprise-wide lake house with scalable, reliable and business intuitive data architecture for supporting self-service capabilities across Data & Analytics solutions. This role will be an individual contributor and partnering closely with cross-functional teams in building enterprise data model which can support Analytics, GenBI, AI/ML and Data Sandboxing solutions.

Key Responsibilities:
• Vision and Strategy: Define and lead the vision, strategy, roadmap for data platform (data lakes, warehouses, governance, data quality, onservability etc.), aligning with business objectives and technological advancements to enable data platforms as the strategic enabler for AI
• Relentless Execution of Enterprise Data Model Development: Rapid delivery of design and development of data model (functional, logical, physical) in advanced cloud based solutions such as AWS based Databricks platform ensuring seamless data integration, quality, compliance and security.
• Data Engineering: Map out the existing legacy Data warehouses in developing an enterprise level data model that can fit in medallion architecture lakehouse platform for supporting current and future GenAI analytics needs.
• Self Service enablement: Partner with business stakeholders and internal data solutions team to empower business for self-service.
• Cross-Functional Collaboration: Collaborate with IT and Business with a product mindset to ensure data models meet business needs and to drive innovation. Also collaborate with teams across the globe to ensure high quality and timely delivery.
• Challenge Status Quo: Encourage innovation and continuous improvement by challenging existing processes & solutions and proposing new scalable & creative solutions.

Minimum Qualifications:
• 13+ years of experience in data management, data engineering, or data science roles, with at least 7 years in building enterprise level data models as part of data modernization and DW migration efforts.
• 5+ years of work experience with programming (e.g., Java, Python).
• 3+ years of work experience with SQL or NoSQL Databases.
• 3+ years of work experience with Data Structures and algorithms.
• Strong understanding and hands-on experience with lakehouse medallion data architecture and governance.
• Proven implementation experience with migrating legacy DW data models to 3-layer medallion architecture.
• Strong passion in exploring GenAI based solutions for documenting the existing DW footprint and build out strategic data model for Databricks platform
• Experience with machine learning, artificial intelligence, and predictive analytics is a plus.
• Excellent leadership, communication, and collaboration skills in a global hybrid delivery model
• Strong problem-solving skills with strategic thought process and self-initiative and proactive soft skills