ROLE AND RESPONSIBILITIES
As part of APAC Data Platform team, Data Architect will play a key role to lead the design, development, and optimisation of our enterprise data platform.
- This role is pivotal in shaping data platform strategy, ensuring scalability, reliability, and performance across data ecosystem.
- Architect and lead the development of scalable, secure, and high-performance data
- platforms
- Own the design and implementation the Data platform using modern data stack
- technologies including but not limited to:
- Event-driven and batch data based data ingestion and pipelines (e.g., Debezium,
- Kafka, Flink, Spark)
- Data APIs, visualisation & reporting (e.g. SSRS, Pentaho, Superset, StarRocks)
- Data Storage and Data governance (e.g. Iceberg, DataHub, Nessie)
- Observabilities (e.g. Prometheus, Grafana)
- Collaborate with other data architect, analysts, and engineers to deliver robust data
- solutions
- Champion automations by using tools like Terraform, GitHub Actions, and CI/CD pipelines
- Ensure data quality, governance, and compliance across all data systems
- Mentor and guide junior engineers and contribute to a culture of technical excellence
- Evaluate and integrate emerging technologies to enhance platform capabilities
- Lead incident response and root cause analysis for data platform issues
EDUCATION & QUALIFICATIONS
- Bachelor’s degree in computer engineering, Computer Science, Information Systems, or a related field
Must-have Skills:
∙ Excellent English communication skills, both written and verbal
∙ Proficiency in modern data platform engineering
∙ Hands-on experience with end-to-end data platform engineering design and implementation
∙ Experience with automation across engineering
∙ Familiarity with modern data platform technology stack with open-source tools preferred
∙ Experience with GitHub, PR process, CI/CD pipeline, and code/release management
∙ Proficiency in public and private cloud, AWS, Kubernetes, Docker
∙ Expert in streaming technologies and ETL/ELT data pipelines (e.g. Debezium CDC, Kafka, Flink, Spark, etc.)
∙ Expert database technologies and data lake storage (e.g. MSSQL, Postgres, Iceberg, etc.)
∙ Expert in Data analytics and reporting (e.g. SSRS, Pentaho, Superset, StarRocks, etc.)
∙ Expert in Data Governance by using tools like DataHub
∙ Proficiency in at least one programming language, preferably Java and Python
Nice-to-have Skills:
- Knowledge of AI/MCP is an advantage but optional
IDEAL CANDIDATE PROFILE & PREFERENCES
- 10+ years of experience in a data engineering related role for senior-level candidates.
Pay: ₹1,500,000.00 - ₹2,500,000.00 per year
Benefits:
Application Question(s):
- Immediate to 15 days preferred
Experience:
- data engineering: 10 years (Preferred)
Work Location: In person
