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Sr. Data Bricks Solution Architect
Sr. Data Bricks Solution ArchitectNet2Source (N2S) • Dallas, TX, US
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Sr. Data Bricks Solution Architect

Sr. Data Bricks Solution Architect

Net2Source (N2S) • Dallas, TX, US
Hace 5 días
Tipo de contrato
  • A tiempo completo
Descripción del trabajo

Title- Sr. Data Bricks Solution Architect

Location- Local to Dallas area, in client office 3days / wk.

Term- Contract

Must have skill :

  • end-to-end data architectures using Databricks Lakehouse Platform
  • Strong hands-on experience with Databricks (clusters, notebooks, Delta Lake, MLflow, Unity Catalog)
  • Experience with at least one cloud provider (AWS, Azure, GCP)
  • Strong proficiency in Spark, Python, SQL, and distributed data processing
  • Experience designing large-scale data solutions including ingestion, transformation, storage, and analytics
  • CI / CD practices for data pipelines (Azure DevOps, GitHub Actions, Jenkins, etc.)
  • Experience with streaming technologies (Structured Streaming, Kafka, Kinesis, EventHub)
  • strong communication skills with the ability to engage both technical and business teams

Role Summary : 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.).

    • 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.

    • 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.

    • Why Join Us?

  • 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.
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