Data Architect

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

📋 Description

• Evaluate the existing data landscapes of clients and design target-state architectures for cloud, hybrid, or on-premises solutions that align with business objectives.

• Choose technologies tailored to client requirements, constraints, and existing systems, focusing on Snowflake and Databricks as primary platforms.

• Create architectures for lakehouses, warehouses, and data lakes, encompassing ingestion, ETL/ELT pipelines, CDC, streaming, and API integrations.

• Develop conceptual, logical, and physical data models utilizing Kimball, Data Vault, or 3NF, along with semantic layers for BI and AI.

• Specify IAM, encryption, masking, row-level security, high availability/disaster recovery, performance, and cost optimization strategies.

• Establish foundational data governance elements including cataloging, metadata management, lineage tracking, data quality, and data contracts.

• Prepare platforms for advanced analytics, machine learning, GenAI, and real-time applications.

• Generate reference architectures, reusable patterns, and accelerators for the Data & AI offerings.

• Serve as the technical authority for delivery teams, reviewing designs and ensuring quality across projects.

• Collaborate with sales and industry teams during technical presales, discovery workshops, solution design, estimations, proposals, and RFPs.

• Present architectural designs and recommendations to engineering teams and C-level executives.

• Design and conduct proofs of concept and technical demonstrations.

• Assess new methodologies and tools, sharing insights internally and externally.

⛳️ Requirements

• Over 7 years of experience in data engineering or data architecture, with a minimum of 3 years in an architectural role.

• Practical experience in designing and implementing solutions on Snowflake and Databricks (Delta Lake, Unity Catalog, Spark), with expert-level proficiency in at least one and working knowledge of the other.

• Familiarity with at least one major cloud provider (Azure, AWS, or GCP) and their respective data services.

• Strong data modeling capabilities (Kimball, Data Vault, 3NF).

• Proficient in SQL and competent in Python.

• Experience with orchestration and transformation tools (e.g., Airflow, dbt, Azure Data Factory).

• Solid grasp of data security, governance, and regulatory requirements.

• Client-facing experience, preferably in consulting or IT services, with the ability to communicate technical trade-offs to business stakeholders.

• Excellent command of English, both spoken and written (C1 level).

• Certifications in Snowflake (SnowPro Advanced), Databricks, or cloud architecture.

• Experience with Microsoft Fabric, BigQuery, or Redshift.

• Knowledge of streaming technologies (Kafka, Spark Structured Streaming) and event-driven architectures.

• Familiarity with data catalogs and MDM (Unity Catalog, Collibra, Atlan, DataHub).

• Understanding of semantic layers and knowledge graphs (dbt Semantic Layer, ontologies, RDF/OWL).

• Domain expertise in one of the specified verticals.

• Previous experience in presales or solution consulting.

🏝️ Benefits

• Flexible and remote working arrangements.

• Opportunities to work on international projects with leading global clients.

• Travel opportunities related to international projects.

• A non-corporate work environment.

• Access to language courses.

• Participation in knowledge-sharing initiatives.

• Private healthcare and life insurance coverage.

• Access to a multisport card.