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Dla Stała i Kontrakt, Intelligent Cloud w United States

    Lead Databricks Architect

    USA, Texas, REMOTE

    • Practice Lead Stanowisko
    • Umiejętności: Databricks, Apache Spark, PySpark, Delta Lake, Lakehouse Architecture, Unity Catalog, Databricks SQL, Structured Streaming, Python, SQL, AWS, Azure, Data Engineering, Data Architecture, CI/CD, Terraform, Data Governance, Data Security
    • Seniority: Senior

    Opis oferty pracy

    We are a specialist Data & AI staffing partner representing a boutique Data and AI consulting firm that has been engaged by a Fortune 500 enterprise to deliver a large scale Databricks implementation.

    Due to increased delivery demand, our client is seeking a Lead Databricks Architect to take ownership of architecture and technical direction across the program. This consultant will play a key role in shaping the platform, leading delivery teams, and acting as a senior technical authority for both the consulting firm and the end client.

    Role Overview

    This is a hands on, senior level contract role where you will lead Databricks architecture decisions, guide engineering teams, and work directly with client stakeholders to ensure successful delivery of agreed SOWs and milestones.

    Key Responsibilities

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    Lead the design and implementation of enterprise grade Databricks Lakehouse architectures
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    Act as the senior technical authority across the Databricks platform
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    Partner closely with Fortune 500 client stakeholders, architects, and data leaders
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    Define architectural standards, patterns, and best practices
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    Provide technical leadership and mentorship to Data Engineers and Analytics Engineers
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    Ensure scalability, performance, security, and cost optimization are built into the platform
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    Support roadmap planning, architectural decision making, and documentation
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    Troubleshoot complex platform and data challenges as they arise



    Required Experience

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    Proven experience leading Databricks implementations at enterprise scale
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    Strong hands on Databricks expertise, including Spark, Delta Lake, and Databricks SQL
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    Deep understanding of Lakehouse architecture patterns
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    Prior experience working with Fortune 500 or large enterprise environments
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    Strong cloud background in AWS, Azure, or GCP
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    Advanced Python and SQL skills (Scala is a plus)
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    Experience working in consulting or professional services environments
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    Strong stakeholder management and communication skills



    Preferred / Nice to Have

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    Databricks certifications (Architect or Professional level)
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    Experience with Unity Catalog, data governance, or security frameworks
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    Background leading multi team or multi workstream delivery programs

    Senior Data Engineer

    USA, Texas, Richardson

    • $130,000 to $150,000 USD
    • Developer/Programmer Stanowisko
    • Umiejętności: Azure Data Factory, Azure SQL Data Warehouse, Azure Synapse, Kimball, Microsoft Fabric, SQL, ssIS
    • Seniority: Senior

    Opis oferty pracy

    Senior Data Engineer

    Join a Microsoft-centric data team modernizing its warehouse architecture and pipelines on Azure. The role focuses on translating business data needs into dimensional models, building reliable extraction and loading routines, and tuning SQL so analytics teams receive trusted, performant datasets.



    Successful applicants must be able to demonstrate proven, professional experience across the below areas:

    * Designing and maintaining dimensional data warehouses with Kimball methodology: conformed dimensions, fact tables, referential integrity, and slowly changing dimensions.
    * Writing and optimizing T-SQL stored procedures, user-defined functions, and advanced queries; analyzing execution plans and applying index strategies on Azure SQL Managed Instance or on-prem SQL Server.
    * Developing, scheduling, and monitoring ETL/ELT pipelines in SSIS (Control Flow, Data Flow, checkpoints) and Azure Data Factory (pipelines, triggers, integration runtimes); leveraging Fabric or Synapse for distributed or serverless workloads, and managing load order, dependencies, logging, and error handling.
    * Collaborating with analytics teams to refine data models so structures remain extensible, well documented, and performance-oriented; implementing source control and CI/CD for database objects and pipeline assets.



    Any experience across the below areas, whilst not essential, would be highly advantageous:

    * Data governance and quality frameworks, including cataloging, lineage tracking, and automated testing of stored procedures.
    * Monitoring and optimization through Log Analytics or similar, plus awareness of Azure cost-management levers (partitioning, tier selection, pay-as-you-go compute).



    This is a permanent position, working onsite at the company headquarters in the Richardson/Plano area of Dallas.