Our client, a UK-headquartered firm employing over 20K resources worldwide, is in the digital services business. With development centres in the EU, India, Poland & Ireland, they cater to various industry verticals that include but are not limited to BFSI, Utilities, Telecom, Health, Retail & Transport.

To supplement their growth trajectory, they are looking for DATA PLATFORM ENGINEERS

Data Platform Engineer : Databricks or Snowflake

Location : Pune, Mumbai

Mode : WFO

Business Unit : (CAITO)

Role Type : Full-time

Reports To : Head of Data & Analytics Technology

Grades/Levels : Senior (8+ years experience) & Lead (10+ years experience)

About the Role

Our client is looking for a visionary Data Platform Engineer to own, scale, and nurture our platform engineering team and data infrastructure across Databricks and Snowflake ecosystems. You will set the strategic direction for our clients Enterprise Data Platform, be the custodians of the platform, mentor team members, and drive the development of robust, scalable foundational data pipelines, transformations, and data models that underpin business insights and operational reporting. You will ensure engineering best practices, data quality, and reliability are maintained across platforms.

Key Responsibilities

- Define and drive the technical roadmap and strategy for the data platform on Databricks and Snowflake, ensuring scalability, security, and cost efficiency.
- Design, implement, and maintain the platform's infrastructure using Infrastructure as Code (IaC) tools such as Terraform or BICEP/ARM.
- Drive platform automation and operational excellence for deployment, environment provisioning, monitoring, and self-service capabilities using Azure DevOps/CI/CD.
- Establish and enforce engineering best practices, including robust code quality, automated testing, observability, and security governance across the platform.
- Mentor and nurture the platform engineering team, promoting a culture of continuous learning and high-quality delivery.
- Collaborate with data engineering teams, security,



and senior stakeholders to ensure platform capabilities align with business needs and enterprise standards.
- Monitor and manage cloud resource consumption across Databricks and Snowflake to drive cost efficiency and implement FinOps best practices.
- Establish, monitor, and enforce Service Level Agreements (SLAs) and Non-Functional Requirements (NFRs) for platform performance, availability, and throughput.
- Define and implement data quality enforcement mechanisms and robust access control policies (e.g., RBAC/ABAC) utilising features like Databricks Unity Catalogue or Snowflake Roles.

Skills & Experience

Essential

Platform Build & Operations Expertise:

Proven experience (10+ years) designing, implementing, and managing data platforms on Databricks or Snowflake or equivalent, emphasising platform engineering best practices, Infrastructure as Code (IaC), and automation.

Data Technical Proficiency:

Strong command of Python (PySpark/Pandas), advanced SQL, and platform-specific technologies (e.g., Databricks Workflow, Unity Catalogue, Snowflake features).

Infrastructure & Cloud:

Strong understanding of Microsoft Azure or AWS cloud infrastructure, including networking, security, and compute. Relevant infrastructure certifications (e.g., Microsoft Azure Infrastructure or AWS equivalent) are highly desirable.

Consulting & Stakeholder Management:

Strong consulting skills, including exceptional communication and presentation abilities, with a proven track record of translating complex technical concepts into clear business outcomes for diverse audiences.

Skilled Conduct:

Strong written and spoken English, a positive team culture contributor, and a continuous improvement mindset.

Desirable

- Degree educated Computer Science
- Microsoft/AWS Certified




- Familiarity with AI coding tools - GitHub Copilot, Claude Code, Cursor
- Azure/AWS DevOps / CI/CD / YAML / ARM / BICEP / Terraform
- Azure/AWS Data Factory
- Azure/AWS Networking/Infrastructure
- Experience with modern observability and monitoring tools such as Prometheus, Grafana, Datadog, or Azure Monitor for proactive health checks and alerting.
- Familiarity with streaming platforms like Apache Kafka, Azure Event Hubs, or AWS Kinesis is a plus.
- Working knowledge of containerisation technologies (Docker) and orchestration (Kubernetes/AKS/EKS).

Behavioural Competencies

- Collaborative: Builds strong relationships with stakeholders, the business & technology, promoting shared ownership of change outcomes.
- Influential: Able to challenge constructively, shape decisions, and guide stakeholders through change with clarity and confidence.
- Delivery-focused: Takes ownership of outcomes, drives momentum, and removes blockers to ensure change lands successfully.
- Structured thinker: Organises information coherently, produces credible plans, and maintains clarity across fast-moving workstreams.
- Adaptable: Responds well to ambiguity, adjusts approach as delivery evolves, and thrives in an environment of continuous iteration.
- Detail-oriented: Ensures quality, accuracy and completeness across deliverables, logs, timelines and communications.
- Proactive: Anticipates risks and issues, drives early mitigation, and maintains strong governance discipline.
- Continuous improvement mindset: Seeks opportunities to enhance ways of working, improve processes and embed best practice across Agile teams.
- Resilience: Demonstrates the ability to remain effective, composed and solution-focused when faced with pressure, setbacks or rapidly changing circumstances.

Education & Certifications(Mandatory)

- Microsoft Azure Certifications
- Databricks Certified Associate / Professional
- SnowPro Core Certification
- Microsoft Fabric Certifications (DP-600/DP-700)
- Microsoft Azure Solutions Architect Expert or AWS Certified Solutions Architect – Professional.

📌 Openings IN PUNE/MUM WITH A Captive FIRM For DATA Platform Engineers
🏢 Eyeglobal
📍 Pune