Data Architect

1 week ago

ClujNapoca, Cluj, Romania RebelDot Full time 90,000 - 120,000 per year

You might be our missing piece if you have:

  • 5 years of experience in data architecture and modeling, ideally in large-scale, enterprise environments.
  • Deep experience with cloud platforms (AWS, Azure, GCP) and modern data stack tools (e.g., DBT, Redshift, Snowflake, BigQuery, Airflow).
  • Strong command of data modeling techniques (dimensional, normalized, hybrid), including experience with data warehouse/lakehouse environments.
  • Solid understanding of ETL/ELT pipelines, version control, orchestration, and CI/CD in data workflows.
  • Familiarity with data privacy and compliance standards, and experience implementing data governance frameworks.
  • Excellent verbal and written communication skills; ability to convey complex concepts to technical and business audiences.
  • Experience working in Agile development environments.

We would be thrilled if you have:

  • Strong understanding of data lake and cloud-based data solutions.
  • Familiarity with high-performance query optimization techniques.
  • Exposure to AI/ML project workflows and their data preparation needs.

We will be working together on:

  • Data Architecture & Strategy – Design and implement scalable, cloud-based data architectures. Oversee data pipelines, modeling, and storage using tools like DBT, Redshift, Snowflake, or BigQuery. Align solutions with business needs and build strong client relationships.
  • Data Modeling – Develop and govern conceptual, logical, and physical data models following best practices (Kimball, Data Vault, 3NF). Ensure models are scalable, maintainable, and well-documented.
  • Governance, Security & Compliance – Establish data governance strategies for quality, security, privacy, and regulatory compliance (e.g., GDPR). Implement metadata management and lineage tracking.
  • Client & Stakeholder Engagement – Act as a strategic partner, advising clients on Data & AI roadmaps, emerging technologies, and best practices. Facilitate architecture reviews and cross-functional collaboration.
  • Innovation & Enablement – Stay ahead of industry trends, mentor teams, and contribute to reusable frameworks, documentation, and best practices.

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