Senior Data Architect(AWS+Azure)

Що робити

Architecture Ownership: Define and own the target-state data architecture across both AWS and Azure cloud environments.
Platform & Processing Design: Architect enterprise data lakes/warehouses, storage layers, ingestion patterns, and processing frameworks utilizing distributed systems (Spark).
Governance & Security: Establish enterprise data governance, security, compliance, and access-control standards across both cloud ecosystems.
Tool & Vendor Evaluation: Evaluate tools/services across AWS and Azure, balancing performance, scalability, maintainability, and cloud costs.
Technical Leadership & Delivery: Provide architectural oversight and detailed technical documentation to engineering leads during implementation, supporting cloud migration and multi-cloud integration initiatives.

Architect Experience: 8+ years in data architecture and engineering, with clear senior/lead-level design responsibility and platform ownership.
AWS Stack: Deep hands-on architecture experience with AWS (S3, Redshift, Glue, Lake Formation, Athena).
Azure Stack: Deep hands-on architecture experience with Azure (ADLS, Synapse, Data Factory, Databricks).
Data Engineering Core: Mastery of data modeling, ETL/ELT pipelines, distributed data processing (Spark), and enterprise data lakes/warehouses.
Governance & Migrations: Proven track record leading multi-cloud integrations, cloud migrations, and establishing data security and governance standards.

Cloud Certifications (AWS Certified Solutions Architect, Azure Solutions Architect Expert).
Experience with Data Mesh or Domain-Driven Data Architecture.
Experience in regulated industries (Finance, Healthcare, etc.).
📍 Project Details:
⏳ Duration: Long-term (Full-time).

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