Data Solution Architect

Ltm • Media & Entertainment • Creative Agencies • 6-month contract • Python • SQL • Power BI • ETL/ELT • Azure Data Factory • 7 hours ago
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Salary
≈ $78k – $166k per year (Estimated)
Location
Hybrid (Munich, Germany)
Seniority
Architect

Confirmed on the employer's own hiring board on Oct 16, 2026. First seen by Alion on Sep 9, 2026. Ltm scores B on the Alion truth index.

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Ltm

LTIMindtree is a worldwide technology consulting and digital solutions company that empowers businesses in a variety of sectors to get to the future faster by combining engineering DNA and tech expertise.
ltm.com • Bengaluru • Mumbai • Hyderabad • Chennai • Pune • Branding • Creative Agencies • Media & Entertainment • Enterprise Apps Implementation Partners • IT Outsourcing & Dedicated Teams • IT Consulting & Digital Transformation • Est. 1996
Tech stack of Ltm

Data Solution Architect

Munich, Germany(Hybrid or remote in Germany)

6 Months contract

Responsibilities:

  • Lead the architecture design and implementation of advanced analytics solutions using Azure Databricks Fabric The ideal candidate will have a deep understanding of big data technologies data engineering and cloud computing with a strong focus on Azure Databricks along with Strong SQL
  • Work closely with business stakeholders and other IT teams to understand requirements and deliver effective solutions
  • Oversee the endtoend implementation of data solutions ensuring alignment with business requirements and best practices
  • Lead the development of data pipelines and ETL processes using Azure Databricks PySpark and other relevant tools
  • Integrate Azure Databricks with other Azure services eg Azure Data Lake Azure Synapse Azure Data Factory and onpremise systems
  • Provide technical leadership and mentorship to the data engineering team fostering a culture of continuous learning and improvement
  • Ensure proper documentation of architecture processes and data flows while ensuring compliance with security and governance standards
  • Ensure best practices are followed in terms of code quality data security and scalability
  • Stay updated with the latest developments in Databricks and associated technologies to drive innovation

    Essential Skills

  • Strong experience with Azure Databricks including cluster management notebook development and Delta Lake
  • Proficiency in big data technologies eg Hadoop Spark and data processing frameworks eg PySpark
  • Deep understanding of Azure services like Azure Data Lake Azure Synapse and Azure Data Factory
  • Experience with ETLELT processes data warehousing and building data lakes
  • Strong SQL skills and familiarity with NoSQL databases
  • Experience with CICD pipelines and version control systems like Git
  • Knowledge of cloud security best practices

    • Soft Skills

    • Excellent communication skills with the ability to explain complex technical concepts to nontechnical stakeholders
    • Strong problemsolving skills and a proactive approach to identifying and resolving issues
    • Leadership skills with the ability to manage and mentor a team of data engineers

    Nice to have Skills

    • Power BI for dashboarding and reporting
    • Microsoft Fabric for analytics and integration tasks
    • Spark Streaming for processing realtime data streams
    • Familiarity with Azure Resource Manager ARM templates for infrastructure as code IaC practices

    Experience

    • Demonstrated expertise of 15 years in developing data ingestion and transformation pipelines using Databricks Synapse notebooks and Azure Data Factory
    • Solid understanding and hands on experience with Delta tables Delta Lake and Azure Data Lake Storage Gen2
    • Experience in efficiently using Auto Loader and Delta Live tables for seamless data ingestion and transformation
    • Proficiency in building and optimizing query layers using Databricks SQL
    • Demonstrated experience integrating Databricks with Azure Synapse ADLS Gen2 and Power BI for end toend analytics solutions
    • Prior experience in developing optimizing and deploying Power BI reports
    • Familiarity with modern CICD practices especially in the context of Databricks and cloudnative solutions
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