Databricks Solution Architect

Worldlink • Frisco, TX

2d • Onsite

About The Position

WorldLink is seeking a Databricks Solution Architect to lead the design and implementation of modern data and AI solutions for enterprise clients. This technical leadership role translates complex customer requirements into scalable Databricks-based architectures, leads presales proposals, and builds high-performing technical teams. The architect works with clients, sales teams, and delivery organizations to develop solutions using the Databricks platform, including Lakehouse, Unity Catalog, AI/ML tools, and data governance capabilities.

The role owns the technical vision and execution of Databricks solutions, serving as a primary architect and thought leader for customers and internal teams. Responsibilities span architecture and solution design, technical discovery and proposal leadership, delivery and team leadership, and Databricks platform expertise. The position is onsite in Frisco, Texas, and is listed as full-time W2 employment.

Candidates should bring deep Databricks expertise, at least 10 years of experience with data platform technologies, and a record of architecting and delivering enterprise data solutions. A bachelor's degree in a relevant field is requested, though equivalent experience may be considered. The role may require additional time beyond the normal schedule and periodic travel.

Requirements

• Bachelor’s degree in computer science, information systems, engineering, or a related field; equivalent experience may be considered.
• At least 10 years of experience architecting and implementing enterprise data solutions with modern data platforms.
• At least 3 years of hands-on Databricks platform experience, including Lakehouse, Unity Catalog, Delta Lake, and Delta Live Tables.
• Experience with AWS, Azure, or GCP and their data services.
• Strong foundation in data engineering, SQL, Apache Spark, Python, and distributed computing concepts.
• Experience building data models, designing ETL/ELT pipelines, and implementing enterprise data governance frameworks.
• Expertise in machine learning operations, AI/ML use cases, and modern AI platforms.
• Experience leading technical teams and mentoring junior architects and engineers.
• Ability to communicate complex technical concepts to executive stakeholders and translate business requirements into technical solutions.
• Experience scoping large enterprise engagements and managing technical delivery across multiple work streams.
• Self-motivation and ability to work independently or in a team-based environment.
• Strong attention to detail and organizational skills.
• Ability to work in a fast-paced environment with limited supervision and exercise discretion.
• Strong problem-solving skills and ability to work through ambiguity and technical complexity.
• Consulting or systems-integration experience, including working across multiple teams and delivery workstreams with strong communication skills.

Nice To Haves

• Databricks Certified Associate Data Engineer or Databricks Certified Professional Data Engineer certification.
• Presales or customer-facing technical experience in a consulting or systems integrator environment.
• Knowledge of the Databricks partner ecosystem and integrations with Tableau, Power BI, and Apache Airflow.
• Experience with data governance frameworks and compliance requirements such as GDPR, HIPAA, and SOX.
• Track record of building repeatable solutions and accelerators that improve customer value and operational efficiency.
• One to two years of experience in Retail and commercial QSR.

Responsibilities

• Assess customers’ current data environments and recommend future-state architectures using Databricks Lakehouse, Unity Catalog, and AI/ML capabilities.
• Design enterprise data solutions for 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 objectives and data maturity.
• Create technical specifications, architecture diagrams, and implementation roadmaps for complex engagements.
• Lead technical discovery sessions with enterprise prospects to understand infrastructure, pain points, and strategic priorities.
• Author technical proposal, RFP, and SOW sections that explain proposed solutions and their value.
• Present technical solutions and demonstrate proofs of concept to executive and technical audiences.
• Partner with sales teams to identify technical risks, scope solutions, and structure deals for delivery success.
• Build and mentor 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.
• Support customer enablement and knowledge transfer.
• Promote adoption of Databricks AI tools, including AI Dev Kit, Genie Code, and Genie.
• Architect governance and security solutions using Unity Catalog, table access controls, and data lineage.
• Advise customers on warehouse optimization, cost management, and performance tuning.
• Stay current on the Databricks roadmap and emerging capabilities and translate them into customer opportunities.

Benefits

• Medical plans
• Dental plans
• Vision plan
• Life and Accidental Death & Dismemberment coverage
• Short-term disability
• Long-term disability
• Critical illness, accident, hospital indemnity, and identity theft protection
• 401(k)
• Career development opportunities

What This Job Offers

• Job Type: Full-time
• Career Level: Senior