Senior Databricks Data Architect — Remote, Cloud Governance

Entrada AI

Warszawa, Kraków, Katowice, Łódź

On-site

PLN 390,000 - 607,000

Full time

14 days+
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Benefits offered by this job

100% Remote
MacBook provided
Referral bonus
Certification support
Databricks mentorship

Job summary

Entrada AI, Inc. is seeking an experienced Databricks Data Architect to lead the design and implementation of client data architectures and strategies.

You will define how data is stored, consumed, integrated, and managed, collaborating with data engineers, analysts, and business stakeholders to ensure scalable and compliant systems. The role emphasizes data security, governance, and cost-efficient architectures across on-premise and cloud environments.

Qualifications

  • 7+ years of experience in data architecture, data engineering, or related fields.
  • 4+ years of experience with Databricks.
  • Strong understanding of data modeling, ETL, data integration, and data warehousing.
  • Experience with relational and NoSQL databases, data lakes, and big data technologies.

Responsibilities

  • Design and oversee the development of the overall data architecture, including databases, data warehouses, data lakes, and integration systems.
  • Collaborate with stakeholders to translate business requirements into data architecture solutions.
  • Define and implement data management processes, including data modeling, metadata management, data quality, and governance.

Skills

Databricks
Data architecture
Data modeling
Cloud platforms
Leadership

Education

Bachelor/Master in CS or related

Tools

Spark
Kafka
Hadoop
ETL tools

Job description

Entrada AI, Inc. is seeking an experienced Databricks Data Architect to lead the design and implementation of client data architectures and strategies.

You will define how data is stored, consumed, integrated, and managed, collaborating with data engineers, analysts, and business stakeholders to ensure scalable and compliant systems. The role emphasizes data security, governance, and cost-efficient architectures across on-premise and cloud environments.

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