Databricks Solution Architect
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Summary
WorldLink is hiring a full-time (W2) Databricks Solution Architect, onsite in Frisco, TX, to design and lead delivery of modern data and AI solutions on the Databricks platform (Lakehouse, Unity Catalog, Delta Lake, AI/ML tools) for enterprise clients — spanning pre-sales, architecture, and leading technical delivery teams. Requires 10+ years in data platforms and 3+ years hands-on Databricks.
TITLE: Databricks Solution Architect
POSITION TYPE: Full Time (W2)
LOCATION: Frisco, TX (onsite)
ABOUT WorldLink:
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.
For more
information about our craft, visit .
WHO we’re
looking for:
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.
The ideal candidate brings deep expertise with the Databricks platform, 10+ years of experience with data platform technologies, and a proven track record architecting and delivering enterprise data solutions. You combine technical depth with strong communication skills and a passion for customer success.
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 building data models, designing ETL/ELT pipelines, and implementing governance frameworks for enterprise data management.
- Demonstrated expertise in machine learning operations, AI/ML use cases, and modern AI platforms.
- Proven 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.
Preferred Qualifications:
- Databricks certification (Databricks Certified Associate Data Engineer or Databricks Certified Professional Data Engineer).
- Background in pre sales or customer facing technical roles within a consulting or systems integrator environment.
- Knowledge of Databricks partner ecosystem and integration capabilities with tools like Tableau, Power BI, and Apache Airflow.
- Experience with data governance frameworks and compliance requirements (GDPR, HIPAA, SOX).
- Track record of building repeatable solutions and accelerators that drive customer value and operational efficiency.
- 1-2 years experience in Retail and commerical QSR
Necessary Skills
and Attributes:
- Self-motivated
individual with the ability to thrive in a team-based or
independent environment.
- Detail-oriented with strong organization skills.
- Ability to work in a fast-paced environment.
- Limited supervision and the exercise of discretion.
- Strong problem solving skills and ability to work through ambiguity and technical complexity.
- Consulting or systems-integration experience, including the ability to work across multiple teams and delivery workstreams with strong communication skills.
Physical Demands:
The physical
demands described here are representative of those
that must be met by employee to
successfully perform the essential functions of this
job. Reasonable accommodations may be made to enable
individuals with disabilities to perform the essential
functions.
While
performing the duties of this job, the employee is
occasionally required to stand, clean, crawl, kneel, sit,
sort, hold, squat, stoop, stand, twist the body, walk, use
hands to finger, handle, or feel objects, tools or
controls, reach with hands and arms, climb stairs or ladders
and scaffolding, talk or hear, and lift up to 20 pounds.
Specific vision abilities required by the job include
ability to distinguish the nature of objects by using the
eye. Operate a computer keyboard and view a video display
terminal between 50% - 95% of work time, including prolonged
periods of time. Requires considerable (90%+) work utilizing
high visual acuity/detail, numeric/character distinction, and
moderate hand/finger dexterity.
Performs work
under time schedules and stress which are normally
periodic or cyclical, including time sensitive deadlines,
intellectual challenge, some language barriers, and project
management deadlines. May require working additional time
beyond normal schedule and periodic travel.
WHAT we’ll bring:
During your
interview process, our team can fill you in on all the
details of our industry-competitive benefits and career
development opportunities. A few highlights include:
- Medical Plans
- Dental Plans
- Vision Plan
- Life & Accidental Death & Dismemberment
- Short-Term Disability
- Long-Term Disability
- Critical Illness/ Accident/ Hospital Indemnity/ Identity
Theft Protection
- 401(k)
WHAT you
should know:
Our success
begins and ends with our people. We embrace diverse
perspectives and value unique human experiences.
WorldLink is an Equal Employment Opportunity and
Affirmative Action employer. All employment at
WorldLink is decided on the basis of qualifications,
merit, and business need. We endeavor to
continue our footprint as a diverse organization by
highlighting opportunities for all people. WorldLink
considers applicants for all positions without regard to
race, color, religion or belief, sex, (including pregnancy and
gender identity), age, national origin, political affiliation,
citizenship status, marital status, military/veteran status,
genetic information, sexual orientation, gender identity,
physical or mental disability or any other characteristic
protected by applicable laws. People with disabilities who need
assistance with any part of the application process should
contact us.
This job
description is designed to cover the main responsibilities
and duties of the role but is not designed to be a
comprehensive list of all.