Data Architect
@ InPost

Hybrid
$120,000
Hybrid
Full Time
Posted 15 hours ago

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XXXXXXXXX XXXXXXXXXXX XXXXXX****** @inpost.com
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Job Details

About InPost

InPost Group is an innovative European out-of-home deliveries company revolutionizing the way parcels are delivered to customers. Our network of intelligent lockers (Paczkomat®) offers fast, convenient, and secure delivery options across multiple countries. We are dedicated to redefining e-commerce logistics through constant technological research and a deep commitment to customer satisfaction.

Role Overview

As a Data Architect at InPost, you will lead the design and implementation of a global data model aimed at creating robust, scalable, and future-proof data ecosystems. You will be responsible for strategizing the architecture design, ensuring high performance for vast data volumes, and setting consistent naming conventions, all while aligning technical solutions with business needs.

Responsibilities

  • Develop and execute data architecture strategy for the global data model.
  • Establish and enforce data naming conventions and harmonization across markets.
  • Collaborate with senior stakeholders to drive and prioritize data initiatives.
  • Stay informed on emerging data architecture trends and implement innovative solutions.
  • Train and mentor data engineering teams on data modeling approaches.
  • Create comprehensive technical documentation detailing the data solutions.

Requirements

  • Minimum 6 years of experience in data/analytics engineering.
  • At least 2 years of experience as a Data Architect.
  • Expertise in SQL with advanced knowledge of Python, Spark, Databricks, Azure, and DBT.
  • Experience in designing modern big data warehouses and data lakehouses, using star schema and Kimball approach.
  • Deep understanding of medallion architecture and Big Data & Analytics solutions.
  • Experience in query optimization, ETL processes, and high-performance data storage solutions.
  • Familiarity with Parquet, Delta Lake, CI/CD, and version control (GitLab preferred).
  • Proficiency in both Polish and English; strong communication and collaboration skills.

Bonus Skills

  • Knowledge of BI tools (Power BI, Tableau).
  • Experience with data governance (using Unity Catalog), data quality frameworks, and metadata management.
  • Expertise in role-based access control (RBAC) and data encryption to meet regulatory compliance.
  • Adept at presenting technical concepts to non-technical audiences.

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)

Key skills/competency

Data Architecture, SQL, Python, Spark, Databricks, Azure, DBT, Big Data, ETL, Governance

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How to Get Hired at InPost

🎯 Tips for Getting Hired

  • Customize Your Resume: Highlight relevant data architecture and engineering skills.
  • Align With InPost: Research InPost culture, mission, and tech stack.
  • Prepare Examples: Detail specific Big Data projects and problem-solving examples.
  • Practice Technical Questions: Focus on SQL, Python, Spark, and Azure.

📝 Interview Preparation Advice

Technical Preparation

Review SQL query tuning techniques.
Practice Python scripting for data manipulation.
Study Spark and Databricks performance optimization.
Test ETL and big data warehousing concepts.

Behavioral Questions

Describe a challenging project situation.
Explain collaboration with senior stakeholders.
Discuss mentoring experience with team members.
Detail handling pressure during tight deadlines.

Frequently Asked Questions