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Data Architect Job Opening In Warsaw – Now Hiring InPost


Job description

Job Description

Your responsibilities:

  • Creating a strategy for designing the architecture and implementation process of a global data model, taking into account the multitude of source systems within the InPost Group, and thus the specific business needs of all markets within the InPost Group.
  • Defining and overseeing the data naming strategy, establishing conventions, harmonizing existing names, and ensuring consistent application across the InPost Group.

    This will improve data readability and understanding, facilitate inter-team communication, and support process automation and AI utilization throughout the entire organization.
  • Collaboration at various levels, including senior stakeholders from all InPost Group markets, to identify and prioritize data initiatives that drive business value.
  • Staying at the forefront of data architecture trends and technologies, recommending and implementing innovative solutions to enhance InPost's data capabilities.
  • Training and mentoring of data engineering and data consultanting teams on data modeling approaches (theory, tools, strategies).
  • Creating comprehensive, multi-layered technical documentation that specifies the technical aspects of the data architecture, providing a clear and concise description of the solutions at InPost Group.

Qualifications

Requirements:

  • Minimum 6 years of experience in the field of data engineering / analytics engineering
  • 2 years of experience as a Data Architect
  • Expertise in SQL
  • Advanced knowledge of Python, Spark, Databricks, Azure, DBT, as well as willingness to work with in-house frameworks for creating data objects
  • Extensive experience in designing and implementing data warehouses (preferably modern big data warehouses, data lakehouse), (long-term) experience with data modeling in star schema, theoretical and practical knowledge of Kimball approach
  • Deep understanding of medalion architecture
  • Proven track record of successfully delivering Big Data & Analytics solutions
  • Proficiency in modern Data & Analytics technology stacks and architectural patterns
  • Knowledge and experience in optimization of: queries in the Big Data stack, ETL processes, data storage solutions and partitioning strategies for high-performance analytics and processing
  • Familiarity with the Parquet file format and experience working with Delta Lake, including data versioning, storage optimization, ensuring data integrity, and handling ACID transactions
  • Understanding of the end-to-end development lifecycle of analytical data products
  • High level of communication and cross-team collaboration skills
  • Familiarity with CI/CD and git (preferred GitLab)
  • Fluent Polish and English

 

We will appreciate also:

  • Knowledge of BI tools (Power BI preferred / Tableau)
  • Experienced in establishing and enforcing data governance policies using Unity Catalog in Databricks for centralized data access control, lineage, and auditing
  • Capability in defining and managing data quality frameworks, metadata management, and data cataloging
  • Expertise in implementing role-based access control (RBAC) and data encryption (at rest and in transit) to ensure data security and compliance with regulations like GDPR, CCPA, and HIPAA
  • Ability to present technical concepts and solutions to diverse audiences


Additional Information

The course of the recruitment process:

  • Step 1: HR Interview
  • Step 2: Devskiller test
  • Step 3: Technical Interview (60 min)
  • Step 4: Home task
  • Step 5: Home task presentation and discussion (60 min)

      Required Skill Profession

      Computer Occupations


      • Job Details

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