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Senior Data Bricks Solution Architect R1012520
Senior Data Bricks Solution Architect R1012520YASMESOFT INC • Plano, Texas, USA
Senior Data Bricks Solution Architect R1012520

Senior Data Bricks Solution Architect R1012520

YASMESOFT INC • Plano, Texas, USA
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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 Platform
  • Do you have strong communication skills with the ability to engage both technical and business teams
  • Do you have experience in Manufacturing industry

    • Job 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 & Design
  • 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.
  • Technical Leadership
  • 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.
  • Stakeholder & Project Engagement
  • 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.
  • Data Governance Security & Compliance
  • Define 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 & Innovation
  • 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.).

    • 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

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