Data Architect

This is a fully remote position, open to applicants in Poland.

📋 Description

• Collaborating with Solutions, Engineering, Data, and IT teams to establish target architectures and long-term strategic roadmaps.

• Converting complex business requirements into practical, sustainable architectures.

• Defining and overseeing Enterprise Data Models and Domains, extending beyond conventional analytics to encompass AI/ML workloads.

• Designing for "AI-readiness" by incorporating Feature Stores, Vector Databases, and other technologies into our long-term strategy.

• Investigating and verifying new solutions within the data platform realm based on business needs or research findings.

• Executing technical Proof of Concepts, documenting the outcomes, and supporting teams in their industrialization.

• Keeping abreast of technological advancements to help teams minimize technical debt and adopt appropriate tools.

• Partnering with Data Governance and AI teams to enhance architecture governance practices continuously.

• Creating and maintaining policies, standards, and guidelines to ensure a unified framework across the data platform.

• Ensuring that architectures comply with data regulations (e.g., GDPR, CCPA) and ethical standards in AI/ML model deployment.

• Serving as a hands-on mentor to Data Engineering and Analytics teams, guiding them on daily data modeling patterns, best practices, and execution decisions.

• Providing advice to business and technical stakeholders on self-service data platform functionalities to maximize value.

⛳️ Requirements

• Comprehensive knowledge of data platforms, including data warehouses, data lakes, lakehouses, BI tools, and embedded analytics solutions.

• Proficiency in multi-domain analytical architectures such as data mesh, medallion architecture, and self-service analytics & BI.

• Direct experience with Databricks is essential.

• Experience in designing enterprise data models, familiarity with various data modeling patterns, data engineering practices, and data management standards (e.g., DAMA).

• A minimum of 5 years of focus on architecture (in areas such as data architecture, solution architecture, or enterprise architecture).

• A broad understanding of the technical elements of data integration, including data catalogs, data quality, solution maintainability, performance, and security.

• Practical experience with concepts like MDM, RDM, CDP, ETL, ELT, rETL, SQL, noSQL, and near-real-time analytics.

• Strong stakeholder management abilities; proficient in verbal and written communication; capable of facilitation.

• Capability to mentor and guide teams, promoting a culture of technical excellence and innovation.

• Relevant certifications (such as CDMP/DAMA, TOGAF, CIPP) are advantageous.

🏝️ Benefits

• Assistance with all necessary office and IT equipment.

• Flexible working hours.

• Wellness allowance for mental and physical health.

• Access to professional mental health support.

• Referral bonus policy.

• Opportunities for learning and development.

• Involvement in sustainability events and community initiatives.

• Peer recognition program.

• Employee-led resource groups.

• Optional (fully covered or co-financed) health care and life insurance.

• Multisport card.

• Multikafeteria.

• Lunch card.

• Hybrid work arrangement.

• Policy for remote work from abroad.

• Internet and electricity bill allowance.

• Additional day for community service when volunteering.