- Company Name
- Infinity Quest
- Job Title
- Data Architect
- Job Description
-
**Job title**
Data Architect
**Role Summary**
Design, build, and maintain scalable enterprise data architecture solutions that enable efficient data warehousing, integration, and analytics across cloud and on‑premise environments.
**Expectations**
- Deliver end‑to‑end data architecture designs for large‑scale, multi‑source systems.
- Ensure compliance with data governance, security, and privacy regulations.
- Communicate complex technical concepts clearly to technical and non‑technical stakeholders.
**Key Responsibilities**
- Design and model data warehouses, dimensional models, and metadata repositories.
- Define and implement ETL/ELT pipelines using Airbyte, dbt, or equivalent open‑source tools.
- Develop SQL scripts and data transformation logic for data pipelines.
- Manage data integration from heterogeneous source systems into cloud data warehouses.
- Architect and maintain containerized data services on Kubernetes or Red Hat OpenShift.
- Apply architecture modeling frameworks (Sparx EA, ArchiMate, TOGAF) to document solutions.
- Establish and enforce data governance, GDPR, and security policies.
- Collaborate with data engineering, analytics, and security teams to validate data quality and integrity.
**Required Skills**
- Master’s degree in Information Technology, Computer Science, or related field.
- Minimum 8 years’ experience in data architecture or equivalent data‑focused roles.
- Strong expertise in data warehouse design, dimensional modeling, and metadata management.
- Deep knowledge of ETL/ELT processes and data pipeline development.
- Hands‑on experience with Airbyte, dbt, or similar open‑source data integration tools.
- Proficient in SQL (complex queries, performance tuning).
- Experience with Kubernetes or Red Hat OpenShift orchestration.
- Working knowledge of cloud data warehouse platforms (AWS Redshift, Snowflake, Google BigQuery, Azure Synapse, etc.).
- Familiarity with architecture modeling tools (Sparx Enterprise Architect, ArchiMate, TOGAF).
- Solid understanding of data governance, GDPR, data security, and compliance.
- Excellent analytical, documentation, and communication skills.
- Advanced English (C1) proficiency, written and spoken.
**Required Education & Certifications**
- Master’s degree in Information Technology, Computer Science, or a related discipline.
- Relevant certifications (e.g., TOGAF, AWS Certified Solutions Architect, Google Professional Data Engineer) are desirable but not mandatory.