Data Architect

About Entrada AI
Entrada AI is a specialized consulting partner and a strategic portfolio company of Databricks Ventures. We were recently named the Genie Partner of the Year (2026) for our work deploying Databricks Genie at enterprise scale—bridging the gap between AI ambition and the trusted, governed data required for accurate responses. With over 150 Databricks projects delivered, we unlock self-service analytics for Fortune 500 leaders.
Databricks invested in us because of our technical excellence, placing us in the "inner circle" of the ecosystem. For our engineers, this means direct access to product roadmaps, private previews, and the teams building the platform. You will join a team of industry veterans who value clean architecture over quick fixes. We don't just maintain pipelines; we solve complex architectural challenges.
About The Role
Entrada AI, Inc. is seeking an experienced Databricks Data Architect to join our growing team of consultants to lead the design and implementation of our client’s data architecture and strategy. In this role, you will be responsible for defining how data will be stored, consumed, integrated, and managed across the client organization. You will work closely with data engineers, analysts, and business stakeholders to ensure that our data systems are scalable, secure, and aligned with business goals.
Key Responsibilities
Design and oversee the development of the overall data architecture, including databases, data warehouses, data lakes, and integration systems.
Collaborate with stakeholders to understand business requirements and translate them into data architecture solutions that support current and future needs.
Define and implement data management processes, including data modeling, metadata management, data quality, and data governance.
Ensure data security and compliance with relevant regulations by designing and implementing appropriate access controls and data protection mechanisms.
Optimize data architectures for performance, scalability, and cost-efficiency in both on-premise and cloud environments.
Provide guidance and best practices to data engineers, analysts, and developers on data architecture and design.
Stay up-to-date with the latest trends and technologies in data architecture, and apply them to enhance our data infrastructure.
Create and maintain documentation for data architecture, including data flow diagrams, data models, and system integrations.
Travel to client sites as needed (up to 20% travel required)
Requirements
Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, or a related field.
7+ years of experience in data architecture, data engineering, or related fields.
4+ years of experience with Databricks
Strong understanding of data management principles, including data modeling, ETL processes, data integration, and data warehousing.
Experience with relational and NoSQL databases, data lakes, and big data technologies (e.g., Hadoop, Spark, Kafka).
Proficiency in data modeling tools and techniques, and familiarity with data governance and data quality frameworks.
Experience with cloud platforms (AWS, GCP, Azure) and modern data architectures, including serverless and microservices.
Strong problem-solving and analytical skills, with the ability to design and implement complex data systems.
Excellent communication and leadership skills, with the ability to work effectively across teams and influence stakeholders.
The Offer
Cooperation Models:
Poland: Available via Employment Contract (UoP) or B2B.
Romania/ Greece: Available via B2B only.
100% Remote: Full flexibility to work from anywhere in Poland/ Romania / Greece
High-End Tech: Apple MacBook Air M4 15" provided to all engineers.
Referral Bonus: Bonus for bringing other top-tier engineers to the team.
Professional Growth:
Certification Support: Coverage for all Databricks technical certifications.
Industry Leadership: Support in reaching the highest tiers of Databricks expertise (such as the Champion program) tailored to your specific career track.
Personal Branding: Opportunities to present at global industry conferences and contribute to technical thought leadership.
Expert Mentorship: Direct collaboration with Databricks MVPs and core product teams, giving you a front-row seat to the platform's evolution.
Recruitment Process
Introductory Call (20 min): Short conversation with our Recruiter to discuss your background and expectations.
Technical Interview (60 min): Deep dive into your technical skills with our engineering team.
Optional Client Interview: Required only in specific cases.
Decision & Offer: We aim to close the process and provide feedback efficiently.

Work arrangement
Yes