Databricks Solution Architect

Databricks Solution Architect

WorldLink is a rapidly growing information technology company at the forefront of the tech transformation. From custom software development to cloud hosting, from big data to cognitive computing, we help companies harness and leverage today's most cutting-edge digital technologies to create value and grow. Collaborative. Respectful. Work hard Play hard. A place to dream and do. These are just a few words that describe what life is like at WorldLink. We embrace a culture of experimentation and constantly strive for improvement and learning. We take pride in our employees and their future with continued growth and career advancement. We put TEAM first. We are a competitive group that like to win. We're grounded by humility and driven by ambition. We're passionate, and we love tough problems and new challenges. You don't hear a lot of "I don't know how" or "I can't" at WorldLink. If you are passionate about what you do and having fun while doing it; tired of rigid and strict work environments and would like to work in a non-bureaucratic startup cultural environment, WorldLink may be the place for you.

We are looking for a Databricks Solution Architect who will be responsible for leading the design and implementation of modern data and AI solutions for our enterprise clients. This is a technical leadership role responsible for translating complex customer requirements into scalable Databricks based architectures, driving pre-sales proposals, and building high performing technical teams. You will work with clients, sales teams, and delivery organizations to architect solutions that leverage the full Databricks platform, including Lakehouse, Unity Catalog, AI/ML tools, and data governance capabilities.

Future Duties & Responsibilities - In this role, you will own the technical vision and execution of Databricks solutions, serving as the primary architect and thought leader for customers and internal teams. Role and Responsibilities:

• Architecture and Solution Design
• Conduct current state assessments of customer data environments and deliver future state architecture recommendations leveraging Databricks Lakehouse, Unity Catalog, and AI/ML capabilities.
• Design enterprise grade data solutions covering data ingestion, transformation, governance, analytics, and AI/ML workloads using Databricks SQL, Apache Spark, Delta Lake, and Mosaic AI.
• Develop data models and data product strategies aligned with customer business objectives and data maturity.
• Create detailed technical specifications, architecture diagrams, and implementation roadmaps for complex multi team engagements.
• Pre Sales and Proposal Leadership
• Lead technical discovery sessions with enterprise prospects to understand data infrastructure, pain points, and strategic priorities.
• Author technical sections of proposals, RFPs, and SOWs that clearly articulate solutions and value propositions.
• Deliver compelling technical presentations and proof of concept demonstrations to executive and technical audiences.
• Partner with sales teams to identify technical risks, scope solutions accurately, and structure deals for delivery success.
• Team Building and Delivery Leadership
• Build and mentor high performing technical teams of data engineers, data analysts, and junior architects.
• Lead solution delivery from kickoff through production deployment, ensuring quality, schedule, and customer satisfaction.
• Establish technical standards, best practices, and governance for Databricks implementations across the organization.
• Support customer enablement and knowledge transfer to ensure sustainable solutions and long term success.
• Platform and Product Expertise
• Drive adoption of Databricks AI tools including AI Dev Kit, Genie Code, and Genie for democratizing AI/ML development and analytics.
• Architect governance and security solutions using Unity Catalog, table access controls, and data lineage capabilities.
• Guide customers on Databricks best practices for warehouse optimization, cost management, and performance tuning.
• Stay current on Databricks roadmap and emerging capabilities, translating innovations into customer opportunities.

Required Experience and Education: Bachelor's degree in computer science, information systems, engineering, or a related field; equivalent experience may be considered. 10+ years of experience architecting and implementing enterprise data solutions with modern data platforms. 3+ years of hands on experience with Databricks platform, including Lakehouse, Unity Catalog, Delta Lake, and Delta Live Tables. Experience with cloud platforms (AWS, Azure, or GCP) and their data services. Strong technical foundation in data engineering, SQL, Apache Spark, Python, and distributed computing concepts. Experience buildin