The next part of your journey is right around the corner — with Standard India A genuine desire to make a difference in the lives of others is the foundation for everything we do.

With a customer-first mindset and an intentional focus on building strong teams across the nation, we’ve been able to uphold our legacy of financial stability while investing in new, innovative technologies that support the needs of our customers. Our high-performance culture, focused on operational excellence thrives thanks to remarkable people united by compassion and a customer-first commitment. Are you ready to make a difference?

Data Platform Engineer III Job Summary The Standard India is seeking a Data Platform Engineer III for pipeline and platform data engineering on our Data & AI Platform: Databricks, Lakebase, Confluent Kafka, ingestion pipelines, lineage, freshness and data movement.

In this role, you will keep governed data products fresh, tested and within contract. You will also support day-to-day operations of the platform's graph and vector stores — Neo4j, Databricks Vector Search and Azure AI Search — under runbooks established by the Data Platform Engineer IV, including backup/restore and disaster recovery drills. Your initial assignment makes you the primary owner for Lakebase, ingestion, lineage and freshness handling on the Enterprise Memory task force, with supporting work on Databricks and data platform connectivity for the MCP Gateway task force.

This role sits on The Standard's Data & AI Platform team, which owns the enterprise's shared data and AI foundation — governed once and consumed by many — built on Azure Databricks, Neo4j, Confluent Kafka, Kong, and Anthropic and OpenAI models behind a governed gateway

- Ability to work in office in Bengaluru, India is a requirement of the role. *

Mode of Working: This role follows a hybrid work model, with a primary base in Bengaluru. While on-site presence is essential for key engagements, flexibility is offered for remote work based on business needs and team alignment.

Key Responsibilities

- Build and operate batch and streaming ingestion pipelines on Databricks (PySpark, Lakeflow/Delta Live Tables).
- Integrate event streams from Confluent Kafka into the Lakehouse and manage schema evolution.
- Build and operate Lakebase-backed operational data patterns alongside the lakehouse.
- Build ingestion and parsing pipelines for structured and unstructured content (documents, text)



feeding the lakehouse, graph and vector stores.
- Operate and maintain Neo4j environments under established runbooks: backups and restores, monitoring, health checks and routine upgrades.
- Support vector index operations in Databricks Vector Search and Azure AI Search: run index refresh and sync pipelines and monitor retrieval data freshness.
- Execute disaster recovery procedures for platform data stores: backup/restore testing, failover drills and multi-region runbook execution.
- Implement lineage capture and freshness monitoring against published data contracts and SLAs.
- Automate data-quality and contract testing in CI/CD so violations fail fast, and respond to pipeline incidents.
- Maintain catalog and metadata hygiene in Unity Catalog, and contribute runbooks and operational documentation for the pipelines you own.

Skills And Background You’ll Need Education: B.Tech / B.E. in Software Engineering, Computer Science or Information Systems is required.

Experience

- Typically requires 4+ years of data engineering experience building production pipelines.
- Strong PySpark and SQL skills and solid Python fundamentals.
- Hands-on Databricks experience: Delta Lake, jobs/workflows and familiarity with Unity Catalog.
- Kafka/Confluent experience, including consuming event streams into analytical stores.
- Experience with pipeline orchestration (Lakeflow/Delta Live Tables, Airflow, Azure Data Factory or equivalent).
- Experience processing unstructured data (documents, text) in pipelines.
- Working knowledge of a graph or vector data store (Neo4j, Databricks Vector Search, Azure AI Search or equivalent), including routine operations such as backups, monitoring and index refreshes.
- Data-quality testing experience (Great Expectations, dbt tests or equivalent) and lineage/freshness monitoring.
- Git-based workflows and CI/CD for data pipelines

Preferred Experience

- Cypher basics and interest in growing into graph engineering.
- Disaster recovery or multi-region operations exposure (replication, failover drills, backup/restore testing).




- Lakebase or Postgres-style operational store experience.
- Confluent ecosystem depth (Schema Registry, connectors) and CDC tooling.
- Observability tooling (Datadog) and on-call experience.
- Good to have Databricks Data Engineer Associate or Confluent Certified Developer.

Key Behaviors Of a Successful Candidate

- Adaptability — Seeks information to understand the rationale for and importance of the change.
- Customer Focus — Displays an interest in the customer by trying to understand their concerns and issues; draws on customer insight to help others best meet current and future customer needs.
- Improvement Mindset — Demonstrates curiosity by asking questions regarding current approaches/methods and identifying potential changes.

Why Join Standard India? We Have Built An Enduring Legacy Of Stability, Financial Strength And Exceptional Customer Service Through The Contributions Of The Service-oriented People Who Choose To Work At The Standard.

To Ensure We Can Attract And

Retain The Best Talent, When You Join StanCorp Global Servicesyou Can Expect

- A rich benefits package that supports your health, well-being, and financial goals
- An annual incentive bonus plan tied to both individual and organizational performance

- Paid time off including earned leave, sick/casual leave, and public holidays, in accordance with the company’s leave policy
- A supportive, responsive management approach that empowers you to grow
- Opportunities for career advancement through learning, coaching, and leadership enablement

- A culture where your voice matters—your ideas shape our future, and we win as one
- Purpose-driven work that makes a difference for our customers, communities, and each other

In addition to a competitive salary, our employee-focused benefits are designed to support work-life balance, personal growth, and long-term impact.

Eligibility to participate in an incentive program is subject to the rules governing the program and plan. Any award depends on a variety of factors including individual and organizational performance. StanCorp Global Services India Private Limited is an equal opportunity employer.

All qualified applicants will receive consideration for employment without regard to race, religion, colour, sex, gender identity, sexual orientation, age, disability, caste, HIV status or any other characteristic protected by applicable laws of India.

📌 Data Platform Engineer III (Bangalore East)
🏢 The Standard India
📍 Bangalore East