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Data Bricks Solution Architect/Solution Architect
Job in
Plano, Collin County, Texas, 75086, USA
Listed on 2025-12-31
Listing for:
VDart, Inc.
Full Time
position Listed on 2025-12-31
Job specializations:
-
IT/Tech
Data Engineer, Cloud Computing
Job Description & How to Apply Below
Job Title: Data Bricks Solution Architect/Solution Architect
Location: Plano, TX;
Hybrid mode onsite.
Duration: 6 Months
We are looking for a highly skilled Databricks Solution Architect to lead the design and implementation of scalable, enterprise-grade data platforms using Databricks. The ideal candidate will combine strong technical expertise in data engineering and cloud platforms (AWS/Azure/Google Cloud Platform) with architectural leadership, solution design capability, and strong stakeholder engagement skills.
Responsibilities- Design end-to-end data architectures using Databricks Lakehouse Platform.
- Architect scalable ETL/ELT pipelines, real-time streaming solutions, and advanced analytics platforms.
- Define data models, storage strategies, and integration patterns aligned with business and enterprise architecture standards.
- Provide guidance on cluster configuration, performance optimization, cost management, and workspace governance.
- Lead technical discussions and design workshops with engineering teams and business stakeholders.
- Provide best practices, frameworks, and reusable component designs for consistent delivery.
- Perform code reviews and provide technical mentoring to data engineers and developers.
- Collaborate with product owners, business leaders, and analytics teams to translate business requirements into scalable technical solutions.
- Create and present solution proposals, architectural diagrams, and implementation strategies.
- Support pre-sales or discovery phases with technical input when needed.
- Define and implement governance standards across Databricks work spaces (data lineage, cataloging, access control, etc.).
- Ensure compliance with regulatory and organizational security frameworks.
- Implement best practices for monitoring, auditing, and data quality management.
- Stay updated on Databricks features, roadmap, and industry trends.
- Recommend improvements, optimizations, and modernization opportunities across the data ecosystem.
- Evaluate integration of complementary technologies (Delta Live Tables, MLflow, Unity Catalog, streaming frameworks, etc.).
Technical Skills
- Databricks Expertise
:
Strong hands-on experience with Databricks (clusters, notebooks, Delta Lake, MLflow, Unity Catalog). - Cloud Platforms
:
Experience with at least one cloud provider (AWS, Azure, Google Cloud Platform). - Data Engineering
:
Strong proficiency in Spark, Python, SQL, and distributed data processing. - Architecture
:
Experience designing large-scale data solutions including ingestion, transformation, storage, and analytics. - Streaming
:
Experience with streaming technologies (Structured Streaming, Kafka, Kinesis, Event Hub). - Dev Ops
: CI/CD practices for data pipelines (Azure Dev Ops, Git Hub Actions, Jenkins, etc.).
- Strong communication skills with the ability to engage both technical and business teams.
- Experience working in Agile environments.
- Ability to simplify complex technical concepts for non-technical audiences.
- Strong analytical, problem-solving, and decision-making abilities.
- Databricks Certified Data Engineer Professional / Architect certification.
- AWS/Azure/Google Cloud Platform cloud architect certifications.
- Experience with BI tools (Tableau, Power BI, Looker).
- Experience in machine learning workflows and ML operations.
- Background in large-scale data modernization or cloud migration projects.
- Opportunity to lead high-impact data initiatives using cutting-edge Databricks capabilities.
- Work with a highly skilled team of engineers, architects, and analytics professionals.
- Professional growth opportunities including certifications and advanced architecture training.
- Collaborative environment that values innovation and continuous improvement.
Keywords: Databricks, AWS, Azure, Google Cloud Platform, Dev Ops, CI/CD, Spark, Python, SQL
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