Posted on: 20/08/2025
Were Hiring : Data Architect at Neotas
Experience : 8+ Years (with minimum 5 years in an Architectural role)
Type : Full-time
About the Role :
We are seeking an experienced Data Architect to design, scale, and optimize high-performance, enterprise-grade data systems. The ideal candidate will have strong expertise in cloud-native architectures, ETL pipelines, and modern data platforms, with proven experience driving secure, scalable, and efficient database solutions.
Key Responsibilities :
- Design & Architecture : Define data architecture strategies for relational, non-relational, and distributed systems, ensuring scalability, performance, and reliability.
- Database Management : Architect, implement, and optimize PostgreSQL, MongoDB, Elasticsearch, and Graph DB solutions.
- Cloud Solutions : Leverage AWS cloud-native services (RDS, DynamoDB, Redshift, S3, Glue, Lambda, etc.) for secure, high-availability data platforms.
- ETL & Data Pipelines : Design and manage ETL/ELT workflows using Databricks, Snowflake, and Python-based automation.
- Data Governance & Security : Establish best practices around data quality, compliance, access control, and security frameworks.
- Performance Optimization : Implement indexing, partitioning, caching, and sharding strategies for optimal query performance.
- Collaboration : Partner with engineering, product, and business teams to align data solutions with organizational goals.
- Innovation : Stay updated on emerging database technologies, architectural frameworks, and cloud solutions to drive continuous improvement.
Must-Have Skills :
- Deep expertise in Relational & Non-Relational Databases PostgreSQL, MongoDB, Elasticsearch, Graph DB.
- Strong experience with AWS Cloud-Native Databases & Services (RDS, Redshift, DynamoDB, Glue, Lambda, S3).
- Proven track record in building scalable ETL pipelines with Databricks & Snowflake.
- Proficiency in Python for data engineering, automation, and orchestration.
- 5+ years of recent experience in an architectural role, driving enterprise-grade database solutions.
Good-to-Have Skills :
- Certifications in PostgreSQL, MongoDB, or Cloud Database Architecture.
- Familiarity with data mesh, data lakehouse architectures, and real-time streaming pipelines (Kafka, Kinesis, Flink).
- Experience with containerization & orchestration (Docker, Kubernetes) for database scaling.
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Posted By
Pooja Mavely
Sr Manager - HR & Operations at Neotas Development Private Limited
Last Active: 25 Aug 2025
Posted in
Data Engineering
Functional Area
Other Software Development
Job Code
1533069
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