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Ultra Tendency

Data strategy consulting with DevOps

Databricks Resident Solutions Architect

Implementation & Technical Account ManagementConfirmed live in the last 24 hours
Full-timeMadrid, SpainNo salary listed

About the Job

Requirements

  • At least 7 years of experience in data engineering, cloud architecture, analytics, or related fields.
  • At least 3 years of experience working with Databricks in enterprise environments.
  • Strong expertise in modern data platform architecture and cloud-native solutions.
  • Hands-on experience designing and implementing Lakehouse architectures.
  • Strong knowledge of the Databricks Data Intelligence Platform, Apache Spark, Delta Lake, Unity Catalog, data governance and security, data warehousing and Lakehouse design, ETL/ELT architectures, and data modeling.
  • Experience with at least one major cloud platform: Microsoft Azure, AWS, or Google Cloud Platform.
  • Proficiency in Python, SQL, and Spark.
  • Experience engaging with executive stakeholders and technical leadership teams.
  • Excellent communication and presentation skills in English and Spanish.
  • Applicants must currently reside in Spain and possess the legal right to work in Spain.

Responsibilities

  • Act as the primary technical advisor for strategic Databricks customers.
  • Design and review scalable data, analytics, and AI architectures leveraging the Databricks Lakehouse Platform.
  • Lead architecture workshops, solution design sessions, and technical roadmap discussions.
  • Translate business requirements into technical solutions and implementation plans.
  • Advise customers on platform modernization, cloud migration, data governance, and AI initiatives.
  • Support the successful implementation and adoption of Databricks solutions.
  • Review data engineering, analytics, machine learning, and generative AI workloads for scalability, performance, security, and cost optimization.
  • Identify and resolve technical blockers during customer engagements.
  • Drive architectural best practices for data pipelines, Lakehouse design, Unity Catalog, governance, and platform operations.
  • Serve as a subject matter expert on Databricks capabilities and emerging data and AI technologies.
  • Mentor customer teams and company consultants on architecture patterns and best practices.
  • Deliver executive presentations, technical workshops, and enablement sessions.
  • Contribute to reusable assets, reference architectures, and practice development initiatives.
  • Partner with sales and account teams during strategic customer engagements.
  • Support technical discovery, solution positioning, and proposal development.
  • Provide architecture guidance during pre-sales and proof-of-concept activities.
  • Identify opportunities for platform expansion and increased customer value.

Desired Qualifications

  • Databricks certifications such as Databricks Certified Data Engineer Professional, Databricks Certified Solutions Architect, or Databricks Certified Machine Learning Professional.
  • Experience with generative AI and large language model solutions, MLflow, MLOps, data governance frameworks, data mesh architectures, and real-time and streaming data platforms.
  • Experience in consulting or professional services environments.
  • Additional language skills in German or Portuguese.

About the Company

Ultra Tendency

Data strategy consulting with DevOps

Ultra Tendency provides data strategy consulting and agile project delivery for IT services, focusing on designing data architectures, implementing projects, and providing ongoing DevOps and operational support. Its approach combines holistic data strategy with metric-based QA and agile frameworks, using ITIL4 to run customer platforms and align IT with business goals. The product works through consulting services, project implementation, and long-term support, delivering architecture, data governance, and DevOps practices to large enterprises and organizations requiring robust data solutions. Unlike competitors, Ultra Tendency emphasizes metric-driven QA, end-to-end data strategy, and ITIL4-aligned operations to ensure continuous alignment with business strategy. The company's goal is to help clients build reliable, scalable data platforms and processes that support informed decision-making and steady IT operations through sustained engagements.

Company size
51-200
Company stage
Not listed
Total funding
Not listed
Headquarters
Magdeburg, Germany
Founded
2010

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