Manager Data Architecture, Analytics And Governance

Department Icon Data Science Analytics & Machine Learning
Posted: 2 weeks ago
5-9 years
Pimpri Chinchwad
Data Science Analytics & Machine Learning
work from office
Full Time
Closes 23 Dec 2026

Posted: 2 weeks ago
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Job Description

  • Manager Data Architecture, Analytics and Governance
  • Company: DhlerGroup
  • Job Location: Pimpri-Chinchwad, Maharashtra, India
  • Employment Type: Full-time
  • Company Description

Doehler is a global producer, marketer and provider of technology-driven natural ingredients, ingredient systems and integrated solutions for the food and beverage industry. We provide its customers with a wide product range including natural flavours, natural colours and textures as well as healthy and functional ingredients for foods and beverages. Join Doehler and contribute with your vision and ideas to drive major projects. We are looking for talents who are committed to our ultimate customer focus and who are ready to deliver their best performance in a thriving environment.

  • Your role
  • Responsibility for the implementation, quality, and operation of data products on Dhlers data platform.
  • Development of data products based on the Shared Data Foundation.
  • Ensuring high engineering standards through testing, code reviews, CI/CD, monitoring, and incident analysis.
  • Further development of standards, templates, and components for integration, transformation, orchestration, and documentation.
  • Implementing scalable, high-performance, and maintainable solutions in Databricks.
  • Close collaboration with Architecture, Platform Engineering, and Data Governance.
  • Providing technical support to Domain Leads with requirements, estimations, solution design, and go-live activities.
  • Responsibility for technical documentation, runbooks, operational handovers, and the stability of productive data products.
  • Qualifications
  • Your profile
  • Degree in Computer Science, Business Information Systems, Data Science, Software Engineering, or a comparable qualification.
  • Several years of experience in data or software engineering and/or with modern data platforms.
  • Very good knowledge of Databricks and cloud data platforms, ideally Microsoft Azure.
  • Experience with robust data pipelines, ETL/ELT, and batch and, where applicable, streaming processing.
  • Very good knowledge of Python and SQL; PySpark and/or Spark SQL is an advantage.
  • Experience with data modeling and reusable, consumption-oriented data models.
  • Knowledge of dbt or comparable frameworks for transformation, testing, and documentation is desirable.
  • Experience with Git, pull requests, code reviews, and CI/CD pipelines.
  • Expertise in data quality, observability, monitoring, logging, error handling, and performance optimization.
  • Knowledge of the SAP environment, particularly S/4HANA, as well as the integration of SAP and non-SAP data.
  • Understanding of data governance, e.g. access control, metadata, lineage, data catalogs, and sensitivity classification; experience with Unity Catalog is a plus.
  • Experience managing external developers or service providers is desirable.A structured, pragmatic, and hands-on approach to work, along with strong communication skills.
  • Additional Information
  • What WeOffer:

Work withpassion: We create an environment where passion meets profession. Meaningful work and positive energy inspire people to give their best and make lasting contribution to our shared success.

Take ownership: We empower you to take ownership and share your ideas. Whatever your role, you have the opportunity to show initiative and make an impact.

Grow yourway: With flexibledevelopmentopportunitiesacross departments and a global team, you can broaden your skills, discover newstrengthsand actively shape your career path. Thrive in a global environment: Join an international team bringing together multiplecultures,languagesand perspectives to sparknew ideasand inspiration.

Through global collaboration, you expand your horizon both professionally and personally. The team always wins: We build real connections and grow together. By sharing knowledge and valuing each others strengths, we create a culture where trust and team playlead to shared success.

EqualOpportunities for All

We welcome applications from people of all backgrounds regardless of age, ancestry, disability, ethnic origin, gender, gender identity or expression, nationality, religion, sexual orientation, social background or any other characteristic protected by applicable laws, regulations and ordinances.

A good match starts with shared values. Complete our Culture Fit Challenge to find out how well your mindset aligns with the way we work.

Does it feel like a fit Then apply through our online career portal and attach it to your application. Please note that we are unable to consider or return application documents sent by post. .

Skills

Data ArchitectureAnalyticsCloud Data PlatformsStreaming ProcessingPythonSQLData ProductsPySparkMicrosoft AzureDatabricksETLELTData Pipelines

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