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Urgent! Data Platform DevOps Engineer Job Opening In Hong Kong, Hong Kong – Now Hiring Cognizant

Data Platform DevOps Engineer



Job description

**Key Responsibilities:**



+ Build, maintain, and optimize CI/CD pipelines for data, analytics, and ML assets using Azure DevOps or GitHub Actions, with artifact promotion across environments.

+ Automate Databricks and Fabric operations (clusters, jobs, workflows, Lakehouse/Lakehouse Warehouse, permissions, asset bundles) with Python/PowerShell and REST/CLI.

+ Implement Infrastructure-as-Code for Azure, Databricks, and Fabric resources using Terraform/Scripts; including secure networking, secrets, and policies.

+ Standardize release workflows for notebooks, packages, Delta tables, and semantic models with testing, approvals, and rollout/rollback strategies.

+ Embed governance and security controls leveraging Unity Catalog, Microsoft Purview, Key Vault, RBAC/ABAC, and secrets rotation.

+ Enable observability with Azure Monitor, Log Analytics, and Databricks/Fabric telemetry; define SLIs/SLOs, alerts, and on-call runbooks.

+ Drive cost efficiency via autoscaling, cluster policies, spot capacity, and job scheduling aligned to workload patterns.



**Required Experience:**



+ Technical Experience: 6+ years in DevOps or Platform Engineering for data/AI on Microsoft Azure, including Databricks and Microsoft Fabric.

+ Expert in building automation in the cloud using Python/PowerShell/Spark.

+ CI/CD: Hands-on experience with Azure DevOps or GitHub Actions, YAML pipelines, environment strategies, and artifact versioning for data and ML.

DevSecOps experience with integration on SonarCube and VeraCode.

+ IaC & Automation: Proficiency with Terraform or Bicep, Python and/or PowerShell, and Databricks/Fabric CLIs and APIs.

+ Understanding of Data Platform concepts: Working knowledge of Delta Lake, Spark, ADLS Gen2, Data Factory/Fabric Data Factory, and Power BI integration.

+ Data Product & Governance domain understanding: Experience in developing and managing data products, including implementing governance frameworks, metadata management, data cataloging, lineage, and data quality controls.

+ Security & Governance: Experience implementing Unity Catalog/Purview lineage, access controls, secrets management, and compliant deployments.

+ Problem-Solving Skills: Proven ability to identify, troubleshoot, and resolve complex technical issues using automated solutions.

+ Communication & Documentation: Clear technical communication and the ability to support globally distributed teams.

+ Experience producing high-quality documentation: technical specifications, functional specifications, user playbooks.

+ Experience working with SAFe Agile framework and driving design reviews, demos, and user training.

+ Experience working in retail, luxury, and consumer industry is preferred.



**Education:**



+ Bachelor’s in Computer Science, IT, or related field.

+ Azure Cloud Certifications in related technologies are highly valued, e.g., DevOps Engineer Expert (AZ-400), Azure Solutions Architect Expert (AZ-305).#LI-AL1

Cognizant is an equal opportunity employer.

All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.


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