ZentixSoft is looking for a Data Architect!
Format: Full-Time Outstaffing, long-term contract (12 months), 100% Remote.
Why ZentixSoft?
Salary Review: A structured system of compensation reviews aligned with your engineering growth.
Work-Life Balance: Sustainable workflows with no senseless overtime, helping you keep your resource fully charged.
Trust and Transparency: Zero micromanagement and no invasive time-trackerswe fully trust your professional autonomy.
Gifts & Culture: Corporate gifts for holidays, birthdays, and a true team atmosphere where your voice always matters.<\/p>\n
Role Overview & Responsibilities:
We are looking for a hands-on Data Architect to take full architecture ownership of a complex data platform. In this role, you will assess, stabilize, improve, and modernize the existing architecture, delivering rapid, actionable engineering recommendations.
Architecture Ownership: Define tactical (immediate stabilization) and target (long-term modernization) architectures that engineering teams can directly execute.
Platform Modernization: Assess complex, legacy data environments; identify performance\/scalability bottlenecks; and deliver clear, implementation-ready architectural outputs.
Unstructured & Structured Data: Architect data pipelines and modeling frameworks capable of handling unstructured data (documents, PDFs, free text, scanned content, images) and structured\/file-based datasets.
Tech-Neutral Evaluation: Evaluate enterprise technologies based on scale, cost, workload, and business requirements rather than preference (determining when Databricks, Synapse, ADF, or Azure SQL are truly justified).
Data Modeling & Pipelines: Design robust ETL\/ELT frameworks, dimensional schemas, star schemas, and incremental processing\/refresh strategies.
Documentation & Governance: Create detailed architecture diagrams, technical decision logs, and data governance standards.<\/p>\n
Our Perfect Match (Requirements):
Proven Architecture Ownership: 4+ years of recent, demonstrated experience as a Data Architect owning overall Azure Data Platform architectures (candidate must be an Architect, not solely a Data Engineer).
Azure Data Platform Expertise: Extensive hands-on background with Azure Data Services, including Azure SQL \/ SQL Server, Azure Data Lake, Azure Data Factory (ADF), Azure Synapse, and Databricks.
Azure Cosmos DB (MUST-HAVE): Hands-on experience working with Azure Cosmos DB and file-based data stores within enterprise environments.
Data Engineering Core: Strong mastery of Python, SQL, ETL\/ELT, and Lakehouse architectures.
Unstructured Data Experience: Proven track record handling unstructured data sources (documents, PDFs, text, scanned files).
Fast Delivery & Problem Solving: Ability to onboard quickly into complex environments, navigate incomplete documentation, and deliver meaningful architectural guidance rapidly.
Communication & English: Fluent English (C1) with exceptional technical writing and stakeholder communication skills.<\/p>\n
Project Details:
Duration: 12 Months (Full-time, 100% Remote).
Time Zone: CET \/ CEST.<\/p>\n
We look forward to receiving your CV (please ensure your CV details your project contexts, architecture ownership, and hands-on Cosmos DB\/Azure experience).<\/p>\n","protected":false},"excerpt":{"rendered":"
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