Industry Group : Automotive. (MUST HAVE Manufacturing industry)
Job Title : Senior Data Bricks Solution Architect - R1012520
Location : Plano TX (Local to Dallas area in client office 3days / wk.)
Duration : 12 Months Contract (Potential for extension)
Pay Rate : $85 - $90
Custom Skill Requirements :
- Data Bricks : Strong hands-on experience with Databricks (clusters notebooks Delta Lake ML flow Unity Catalog).
- Cloud Platforms : Experience with at least one cloud provider (AWS Azure GCP).
- 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 EventHub).
- DevOps : CI / CD practices for data pipelines (Azure DevOps GitHub Actions Jenkins etc.).
Qualifying Questions :
Are you able to design end-to-end data architectures using Databricks Lakehouse PlatformDo you have strong communication skills with the ability to engage both technical and business teamsDo you have experience in Manufacturing industryJob Description :
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 / GCP) with architectural leadership solution design capability and strong stakeholder engagement skills.
Key Responsibilities :
Solution Architecture & DesignDesign 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.Technical LeadershipLead 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.Stakeholder & Project EngagementCollaborate 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.Data Governance Security & ComplianceDefine and implement governance standards across Databricks workspaces (data lineage cataloging access control etc.).Ensure compliance with regulatory and organizational security frameworks.Implement best practices for monitoring auditing and data quality management.Continuous Improvement & InnovationStay 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.).Required Skills & Experience :
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 GCP).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 EventHub).DevOps : CI / CD practices for data pipelines (Azure DevOps GitHub Actions Jenkins etc.).Preferred Qualifications :
Databricks Certified Data Engineer Professional / Architect certification.AWS / Azure / GCP 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.Soft Skills :
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.Key Skills
Business Process,VMware,Cloud,HTML5,Windows,Project managements,AWS,Infrastructure,Web Services,JQuery,Java,Computer Engineering,Solutions design,Technical Solutions,Analytics
Employment Type : Full Time
Experience : years
Vacancy : 1