Databricks Solution Architect
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Key details
- Location
- Frisco, TX, United States
- Work style
- Onsite
- Level
- Senior
- Job type
- Full-time
- Experience
- 10–13 yrs
- Function
- Sales & Solutions
- Focus area
- other
- Posted
- 4d ago
Skills
access controlai/mlairflowawsazurecloud computingcustomer successdata governancedata ingestiondata modelingdatabricksdatabricks certifieddelta lakedistributed computingetlgcpgdprhipaalakehousemachine learningpower bipythonsparksqltableau
About the role
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.
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.
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