Senior Data Architect

2 tygodni temu

Wrocław, Województwo dolnośląskie, Polska Altimetrik Poland Pełny etat

Altimetrik Poland is a digital enablement company. In an agile way, we deliver bite-size outcomes to enterprises and startups from all industries, to help them scale and accelerate their businesses. We are unique in Poland's IT market. Our differentiators are an innovation-first approach, a big focus on core development, attacking challenging and complex problems of the biggest companies in the world.

We are looking for a Senior Data Architect to join our team

Your role in the project:

  • Data Source Discovery :
  • Lead efforts to identify and discover relevant data sources within the organization.
  • Collaborate with stakeholders to understand potential data sources and evaluate their suitability for integration into the data architecture.
  • Develop strategies and processes to efficiently discover and onboard new data sources to enrich the organization's assets.
  • Data Mapping:
  • Design and implement data mapping processes to ensure seamless integration and interoperability across various data sources and systems.
  • Develop and maintain documentation related to data mapping processes, schemas, and transformations.
  • Data Architecture and Optimization :
  • Optimize data architecture performance by tuning configurations, refining code, and adhering to industry best practices.
  • Proactively monitor data architecture environments for performance, reliability, and scalability, implementing necessary measures to address issues swiftly.
  • Provide architectural assessments, strategies, and roadmaps for data management, ensuring alignment with organizational objectives.
  • Data Management, Governance and Compliance:
  • Implement data governance practices within Databricks to ensure data quality, integrity, and security.
  • Develop and maintain data management procedures to govern the data lifecycle from acquisition to disposal, ensuring compliance with regulatory requirements and industry standards.
  • Conduct regular audits and assessments of data management processes and systems to identify areas for improvement and mitigate risks.
  • Enforce data compliance policies and standards to meet regulatory requirements and industry best practices.
  • Collaboration and Support:
  • Work closely with cross-functional teams, including data engineering, data science, and business intelligence, to support their data needs and initiatives.
  • Provide technical expertise and support to troubleshoot and resolve data-related issues on time.

If you possess. .

  • Proven experience as lead data architect in projects aiming at designing data architecture and implementing data mapping solutions across complex enterprise environments.
  • Strong understanding of data warehousing concepts, ETL processes, and data integration patterns.
  • Familiarity with data governance frameworks and practices.
  • Proficiency in programming languages such as Python, Scala, or SQL for data manipulation and transformation.
  • Hands-on experience with the Databricks platform will be an asset
  • Experience with cloud platforms such as Salesforce, Zendesk, Soho, Infocom will be an asset.
  • Excellent problem-solving skills and ability to work independently as well as part of a team.

Preferred Qualifications:

  • Certification in Databricks or related technologies.
  • Familiarity with DevOps practices and CI/CD pipelines.

... then we are looking for you

We work 100% remotely or from our hub in Wrocław.

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