Cloud Engineer, Data Platforms at AVEVA – Bangalore | Jobyssey

AVEVA is creating software trusted by over 90% of leading industrial companies.

Job Title: Cloud Engineer, Data Platforms

Location: Bangalore

Employment Type: Full Time (Hybrid role)

The job

We are looking for a hands‑on Cloud Engineer with strong expertise in Azure Databricks to accelerate the delivery and operational reliability of AVEVA’s data and AI workloads. This role is based in Madrid and is expected to work collaboratively with the local Data Science and AI team as part of normal hybrid working.

The successful candidate will begin with a short induction period within the Cloud Operations team, followed by an embed period, working directly with the Data Science & AI team. During this phase, day‑to‑day priorities will be guided by the Data Science and AI team with a focus on establishing reliable, production‑grade data pipelines, hardening platform operations, and ensuring alignment to Cloud Ops standards for security, reliability, and cost efficiency. The role will provide direct support for AI for ALL delivery priorities. After this embed period, the role will transition into the standard Cloud Operations operating model.

This role is ideal for a pragmatic engineer who thrives on making platforms dependable—improving environments, hardening pipelines, automating deployments, and resolving operational issues quickly. It is highly delivery‑oriented and requires close collaboration across Cloud Ops, security/governance, and analytics teams to ensure AVEVA’s data and AI capabilities run securely, efficiently, and at scale.

Key responsibilities

Databricks platform engineering (Azure): Build, configure, and operate Databricks workspaces, clusters, policies, and supporting Azure services.
Production readiness: Enable a clear path to production environments, including operational processes, runbooks, incident response practices, and release readiness.
Pipeline reliability: Support and harden ETL/ELT pipelines (e.g., Delta Lake patterns), job orchestration, and workload performance tuning.
Automation & CI/CD: Implement infrastructure-as-code and CI/CD practices for Databricks and related Azure resources (e.g., Terraform/Bicep, Azure DevOps/GitHub).
Security & access: Implement least-privilege access, secrets management, identity integration, auditability, and compliance-aligned controls (in partnership with Security / Governance).
Observability & operations: Improve logging, monitoring, and cost controls; diagnose and resolve platform/network issues affecting delivery.
Embedded delivery support: Participate in Madrid-based team stand-ups and planning; manage an agreed backlog of tasks that unblock AI for ALL and analytics delivery.

Essential requirements

Azure & Databricks expertise: Strong hands-on experience operating Azure Databricks in enterprise settings; able to troubleshoot workspace, networking, and performance issues.
Engineering discipline: Comfortable with automation, CI/CD, IaC, and operational best practices.
Data platform fundamentals: Working knowledge of Spark, Delta Lake, Python and SQL; ability to partner effectively with data engineers, AI engineers and data scientists.
Operational mindset: Bias to reliability and delivery; able to triage issues quickly and communicate clearly across distributed teams.
Stakeholder collaboration: Works effectively across time zones and teams; able to translate requirements into actionable platform work.
5+ years experience in cloud/platform engineering (preferably Azure)
2+ years hands-on experience with Databricks (Azure Databricks strongly preferred).
Candidates who do not meet the required years of experience may still be considered if they possess the following certifications:
AZ-900 (Azure Fundamentals)
AZ-305 (Designing Azure Infra Solutions)
AZ-104, AZ-400 (DevOps Focused) and/or AI-102 (AI) will be advantageous
Experience with networking/security patterns in Azure (VNETs, private endpoints, Key Vault, managed identities, etc.).
Experience with IaC (Terraform, ARM/Bicep) and CI/CD for platform and data workloads.

Desired skills

Familiarity with AWS/GCP concepts
Experience with Unity Catalog
Experience supporting data governance patterns and lineage/metadata tooling
Familiarity with GenAI workload considerations.

IT at AVEVA

Our global team of 300+ IT professionals is responsible for the systems and platforms that keep AVEVA running. By empowering our colleagues and ensuring the smooth operation of the company, we help keep the business healthy and productivity high. We also provide key support for the transformation and modernisation efforts globally.

We pride ourselves on a collaborative, inclusive and authentic culture that provides a framework allowing for autonomy, whilst always being available for support and guidance. We respect the differences that each team member brings and seek to include those perspectives in our solutions for our business functions. The energy and sense of purpose is evident when talking to team members, you will feel part of something special from the first day you join.

Find out more:

India Benefits include:

Gratuity, Medical and accidental insurance, very attractive leave entitlement, emergency leave days, childcare support, maternity, paternity and adoption leaves, education assistance program, home office set up support (for hybrid roles), well-being support

It’s possible we’re hiring for this position in multiple countries, in which case the above benefits apply to the primary location. Specific benefits vary by country, but our packages are similarly comprehensive.

Find out more: aveva.com/en/about/careers/benefits/

Hybrid working

We work in a hybrid way at AVEVA. Most roles are based at a local AVEVA office, with an expectation of being on-site 50% of your working hours to support collaboration and connection. Some positions are fully office-based depending on the nature of the work, and certain roles that support specific customers or markets may be remote. The working arrangement for this position will be confirmed during the hiring process.

Hiring process

Interested? Great! Get started by submitting your cover letter and CV through our application portal. AVEVA is committed to recruiting and retaining people with disabilities. Please let us know in advance if you need reasonable support during your application process.

Find out more: aveva.com/en/about/careers/hiring-process

About AVEVA

AVEVA is a global leader in industrial software with more than 6,500 employees in over 40 countries. Our cutting-edge solutions are used by thousands of enterprises to deliver the essentials of life – such as energy, infrastructure, chemicals, and minerals – safely, efficiently, and more sustainably.

We are committed to embedding sustainability and inclusion into our operations, our culture, and our core business strategy. Learn more about how we are progressing against our ambitious 2030 targets: sustainability-report.aveva.com/

Find out more: aveva.com/en/about/careers/

AVEVA requires all successful applicants to undergo and pass a drug screening and comprehensive background check before they start employment. Background checks will be conducted in accordance with local laws and may, subject to those laws, include proof of educational attainment, employment history verification, proof of work authorization, criminal records, identity verification, credit check. Certain positions dealing with sensitive and/or third-party personal data may involve additional background check criteria.

AVEVA is an Equal Opportunity Employer. We are committed to being an exemplary employer with an inclusive culture, developing a workplace environment where all our employees are treated with dignity and respect. We value diversity and the expertise that people from different backgrounds bring to our business. AVEVA provides reasonable accommodation to applicants with disabilities where appropriate. If you need reasonable accommodation for any part of the application and hiring process, please notify your recruiter. Determinations on requests for reasonable accommodation will be made on a case-by-case basis.

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