Databricks Solution Architect

Worldlink • Frisco, TX

1d • 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 customer requirements into scalable Databricks 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 and serves as a primary architect and thought leader for customers and internal teams. It encompasses architecture and solution design, presales and proposal leadership, team building and delivery leadership, and platform and product expertise. The position is onsite in Frisco, Texas, and is full-time W2 employment.

WorldLink describes its culture as collaborative, respectful, experimental, and focused on continuous improvement, learning, teamwork, and career advancement. The company highlights a non-bureaucratic, startup-style environment.

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 experience with Databricks, including Lakehouse, Unity Catalog, Delta Lake, and Delta Live Tables.
• Experience with a cloud platform (AWS, Azure, or GCP) and its data services.
• Strong technical 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 workstreams.
• Self-motivated, able to work independently or in a team-based environment, and comfortable with limited supervision and exercising discretion.
• Strong organization, attention to detail, problem-solving skills, and ability to work through ambiguity and technical complexity.
• Ability to work in a fast-paced environment and across multiple teams and delivery workstreams, with strong communication skills.
• Ability to meet the described physical demands, including occasionally standing, cleaning, crawling, kneeling, sitting, sorting, holding, squatting, stooping, twisting, walking, using hands to handle objects or controls, reaching, climbing stairs or ladders and scaffolding, talking, hearing, and lifting up to 20 pounds.
• Ability to operate a computer keyboard and view a video display terminal for 50%–95% of work time, including prolonged periods; the role also requires considerable (90%+) work involving high visual acuity and detail, numeric/character distinction, and moderate hand/finger dexterity.
• Ability to perform under periodic or cyclical time pressures, including time-sensitive deadlines, intellectual challenges, possible language barriers, and project management deadlines.

Nice To Haves

• Databricks certification, such as Databricks Certified Associate Data Engineer or Databricks Certified Professional Data Engineer.
• Background in presales or customer-facing technical roles in a consulting or systems integrator environment.
• Knowledge of the Databricks partner ecosystem and integrations with tools such as 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 drive 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 business objectives and data maturity.
• Create technical specifications, architecture diagrams, and implementation roadmaps for complex, multi-team engagements.
• Lead technical discovery sessions with enterprise prospects to understand their data infrastructure, challenges, and priorities.
• Author technical sections of proposals, RFPs, and SOWs, articulating proposed solutions and their value.
• Deliver technical presentations and proof-of-concept demonstrations to executive and technical audiences.
• Partner with sales teams to identify technical risks, scope solutions, and structure deals for successful delivery.
• 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 across the organization.
• 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 capabilities.
• Advise customers on Databricks warehouse optimization, cost management, and performance tuning.
• Stay current with the Databricks roadmap and emerging capabilities and translate innovations into customer opportunities.

Benefits

• Medical plans
• Dental plans
• Vision plan
• Life and accidental death and 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