Mindbox SA

Lead Data Modeller

Kraków, Lesser Poland Voivodeship, PL

12 days ago
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Summary

Offer

  • We are open to the employment form according to your preferences
  • Work with experienced and engaged team, willing to learn, share knowledge and open for growth and new ideas
  • Hybrid 6 days from the office in Kraków per month
  • Mindbox is a dynamically growing IT company, but still not a large one – everybody can have a real impact on where we are going next
  • We invest in developing skills and abilities of our employees
  • We have attractive benefits and provide all the tools required for work f.e. computer
  • Interpolska Health Care, Multisport, Warta Insurance, training platform (Sages)

Tasks

As a Lead Data Modeller, you will be responsible for designing, implementing, and maintaining data models that will support organization’s data architecture and analytics initiatives. You will lead a team of Data modellers and collaborate with cross-functional teams to ensure data integrity, availability, and consistency, enabling informed decision-making across the organization. Your expertise will be instrumental in shaping and implementing data architecture strategies, ensuring data quality, integrity, security, and optimal performance.

Key Responsibilities

  • Lead the design and development of conceptual, logical and physical data models to support business requirements, operational and analytical needs.
  • Collaborate with stakeholders to gather requirements and translate them into data modelling solutions that meet business needs.
  • Establish and maintain data standards, best practices, and governance policies for data modelling.
  • Mentor and train team members on data modelling techniques, best practises, tools, and methodologies.
  • Work closely with data architects, data engineers, and analysts to create a cohesive data strategy.
  • Participate in design and architecture discussions to ensure alignment with data modelling efforts.
  • Stay up to date with emerging data technologies, trends, and industry developments. Evaluate and recommend new tools and methodologies to enhance data capabilities

Requirements

  • Leadership: You possess strong leadership skills, enabling you to support and inspire a team of Data Modellers. You can effectively communicate the strategic vision and guide the team towards achieving data modelling excellence.
  • Data Modelling Expertise: You have a deep understanding of data modelling (for both operational and analytical systems), data analysis, metadata. You can elicit, document and verify requirements and translate them into scalable and efficient data models.
  • Communication with Impact: Your communication skills are strong, allowing you to effectively convey complex data modelling concepts to both technical and non-technical stakeholders. You can influence and align stakeholders in getting the required signoffs.
  • Consulting: You demonstrate strong consulting skills, leveraging your expertise to provide valuable insights and guidance to cross-functional teams. You can identify opportunities for improvement and drive data modelling excellence.
  • Relationship/Stakeholder Management: You excel in managing relationships and stakeholders at various levels, establishing trust and collaboration to drive successful outcomes. You can effectively navigate and influence within a complex organisational structure.
  • Problem Solving: Your problem-solving skills are expert level, enabling you to analyse complex data challenges and develop innovative solutions. You can guide the team in overcoming technical obstacles and making informed decisions.
  • Data Governance: You have a strong understanding of data governance principles and can establish and enforce data governance frameworks, data quality standards, and data protection measures.

Good To Have

  • Experience in cloud data solutions (e.g., AWS, Azure, Google Cloud).
  • Familiarity with big data technologies (e.g., Hadoop, Spark).
  • Knowledge of industry models (BIAN, FSDM, BDW etc.) or experience in designing enterprise data models

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