AWS Data Architect - Bangalore

Were Concentrix. A new breed of tech company Human-centered. Tech-powered. Intelligence-fueled.

We create game-changing solutions across the enterprise, that help brands grow across the world and into the future. We are trusted by clients across all major sectors, from up-and-coming success stories to iconic Fortune Global 500 brands in over 70 countries spanning 6 continents.

Our game-changers:

* Challenge Conventions

* Deliver outcomes unimagined

* Create experiences that go beyond WOW

If this is you, we would love to discuss career opportunities with you.

In our Information Technology and Global Security team, you will deliver the latest technology infrastructure, transformative software solutions and industry-leading global security for our staff and clients. You will work with the best in the world to design, implement and strategize IT, security, application development, innovation, and solutions in todays hyperconnected world. You will be part of the technology team that is core to our vision of develop, build and run the future of CX.

Concentrix provides eligible employees with an opportunity to enroll in many benefit programs, generally including private medical plans, great compensation package, retirement savings plans, paid learning days, and flexible workplaces. Specific benefits plans will vary by country/region.

Were a remote-first company looking for the absolute best talent in the world. Experience the power of a game-changing career.

Duties and Responsibilities:

Data Model Design

Define and maintain scalable data models and schemas that support the storage, processing, and retrieval of data across analytical and operational workloads.

Data Integration

Architect robust ELT (Extract, Load, Transform) patterns to integrate data from diverse sources into a unified and consistent format.

Define reference designs for batch, micro-batch, and streaming ingestion using AWS (e.g., Glue, Kinesis), and govern seamless data flow between systems, databases, and applications.

Data Quality & Governance

Define data validation, profiling, and cleansing frameworks to ensure accuracy and reliability.

Emerging Technologies

Stay abreast of emerging technologies and trends in data engineering and architecture; evaluate tools and patterns (e.g., Hudi, Iceberg, lakehouse architectures, software serverless designs) and drive adoption roadmaps.

Database Management

Provide architectural oversight for relational databases (e.g., MySQL, PostgreSQL), NoSQL and document stores (e.g., MongoDB), and distributed/columnar systems (e.g., Redshift) to match workload characteristics.

Define indexing, partitioning, compression, and retention strategies across stores.

Performance Optimization (Job & Platform)

Identify and address performance bottlenecks in data processing and storage systems; lead job optimization for Spark/PySpark/Glue (partitions, file sizing, shuffle minimization, join strategies, compaction).

Optimize SQL (Athena/Redshift), workload isolation, and cost/performance trade-offs (e.g., table formats, caching, Z-ordering/clustering where applicable).

Define orchestration and workflow patterns (Step Functions/Lambda) and standardize ELT pipelines and table formats

Leverage Ansible for configuration management and post provisioning automation

Mandatory Skills Required:

AWS data stack (hands on architectural depth): S3, Glue, Athena, Redshift, Lambda, Step Functions, and streaming (Apache Kafka or Amazon Kinesis).

Coding Tech Stack: Python, PySpark, SQL; strong grasp of distributed data processing and lakehouse patterns.

Performance & job optimization: Spark/Glue job tuning, SQL optimization (Athena/Redshift), partitioning, file size management, and cost/performance governance.

Secondary Skills Required:

DevOps & CI/CD for data platforms (build/deploy/test pipelines, artifact management).

Platform monitoring & FinOps: Metrics, logging, tracing, cost monitoring/optimization.

AWS certifications (e.g., Solutions Architect, Data Analytics) and experience in platform security & compliance frameworks.

Exposure to Mongo DB, No SQL, Ansible, Terraform