This is for Govt of India National E-Governance Dept.

If you are from other than Bangalore, it is also fine. Location can be any major city, depending upon specific part of AI mission or hybrid.

Designation: AI/ML Solution Architect

How to apply?

Go to this link. We have our internal tool to take through the flow. There is an optional but preferred AI screening (there is no AI auto rejection)

https://app.careerplan.app/#/a/ofmEKTUk8Y4X?jt=Data%20Engineering%20Lead&cpReturnUrl;=%2Fjob&job;_reference_id=TC-JOB-20260901-WB1HE3

Data Engineering Lead

Designation: Data Engineering Lead

Educational Qualification

 B.Tech / M.Tech / M.S. in Computer Science, Data Engineering, or related fields.

 Professional certifications in cloud data platforms (AWS, Azure, GCP) are desirable.

Experience

 8–12 years of qualified experience in data engineering or data platform architecture.

 At least 4–5 years in designing and managing large-scale data pipelines for analytics or AI systems.

 5-7 years designing and implementing enterprise data architectures for analytics and AI/ML use cases

 Experience working with structured, semi-structured, and unstructured data from diverse sources.

Key Responsibilities

1. Architect and implement scalable data pipelines to support AI/ML models and

analytical workloads.
1. Define data lake and data warehouse architectures compliant with NeGD and

MeitY standards.
1.



Implement data ingestion frameworks for real-time and batch processing of

government datasets.
1. Establish robust metadata management, lineage tracking, and data governance

frameworks.
1. Optimize data storage, compression, and retrieval strategies for large-scale AI

applications.
1. Collaborate with AI/ML teams to ensure clean, high-quality, and versioned

datasets for model training and inference.
1. Integrate APIs and connectors to unify data from multiple Digital India platforms.
2. Maintain compliance with MeitY’s data retention, privacy, and security policies.

Technical Competencies  Cloud Services: AWS Redshift, Glue, S3; Azure Synapse; GCP BigQuery and

Dataflow.

 Big Data Technologies: Apache Spark, Hadoop, Kafka, Airflow, Databricks,

Snowflake, dbt for data transformation and orchestration

 Programming: Python, Scala, Java, SQL.

 Databases: PostgreSQL, MongoDB, Cassandra, Elasticsearch.

 Data Management: ETL/ELT design, schema evolution, DataOps, CI/CD pipelines.

 Infrastructure: Docker, Kubernetes, Terraform, Jenkins for data automation.

 Governance: Data cataloging, access control, encryption, and compliance logging.

Pay: ₹3,000,000.00 - ₹4,500,000.00 per year

Application Question(s)

- What is your notice period / lead time to join ?
- Do you have any offer in hand?

Work Location: Hybrid remote in Bengaluru, Karnataka

📌 Data Engineering Lead (Bengaluru)
🏢 Manomaya AI Systems
📍 Bengaluru