Senior Data Architect(AWS+Azure)
Summary
ZentixSoft (outstaffing, fully remote) is hiring a Senior Data Architect to own end-to-end target-state data architecture across AWS and Azure — designing data lakes/warehouses, ingestion and processing with Spark, and setting governance and security standards while guiding engineering teams through multi-cloud migrations.
ZentixSoft is looking for a Senior Data Architect! 🚀
Format: Full-Time Outstaffing, long-term remote engagement. You will take full end-to-end ownership of target-state data architecture across multi-cloud environments.
💡 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-trackers—we fully trust your professional autonomy.
🎁 Gifts & Culture: Corporate gifts for holidays, birthdays, and a true team atmosphere where your voice always matters.
🧩 Responsibilities:
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.
🎓 Requirements:
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.
Communication: Excellent stakeholder communication skills to present architectural decisions to both technical teams and business leadership.
➕ Nice to Have:
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).
📍 Location: Fully Remote.