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senior

Data Engineer

ZentixSoft
format:Remotetype:Full-timecompany:Outstaff
aws s3redshiftaws glueathenaazure synapseazure data factorydatabricksapache sparketl
awsazure
experience8+ years
> full description

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.