Talentmate
India
3rd December 2025
2512-1947-2549
Summary
Position Summary
Artificial Intelligence & Engineering (AI&E)
Join our AI & Engineering team in transforming technology platforms, driving innovation, and helping make a significant impact on our clients success. You’ll work alongside talented professionals reimagining and re-engineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.
AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each clients unique requirements.
At Deloitte, we take immense pride in the dynamic and innovative environment we have cultivated. Our people are our greatest asset, and we are dedicated to fostering a culture of growth, innovation, collaboration, and excellence. We are thrilled to announce that we are expanding our team and are seeking passionate, talented individuals to join us on this exciting journey
ROLE
Level: Specialist Master
As an AWS Cloud Solution Architect, you will lead technical teams to deliver cutting edge solutions on cloud platforms for some of our Fortune 1000 clients. You will have the opportunity to contribute to work that may involve building new cloud solutions, migrating an application to co-exist in the hybrid cloud, deploying a global cloud application across multiple countries or providing design guidance /POC for our managed services team for continuous optimization. Our teams of technologists have a diverse range of skills, and we are always looking for new ways to innovate and help our clients succeed.
Work you’ll do:
AWS Cloud Solution Architect at Deloitte will be responsible for designing, developing and cloud software applications for enterprise clients, from the technological evaluation stage through final production delivery and installation on AWS cloud platform. You need to have a strong understanding of the AWS framework, hands-on experience designing distributed systems and applications on the AWS Cloud, and experience with cloud computing. You should also have a solid understanding of cloud solutions and cloud computing architecture, and the ability to translate business requirements into technical goals. You will further support proposal development and other pursuit activities. Some of the key areas where cloud solution architect will be involved are mentioned below.
Primary Roles And Responsibilities
Technical Expertise in Python / Scala:
Strong proficiency in Python/Scala programming with extensive experience in designing, developing, and deploying scalable applications and engineering solutions.
Ability to write clean, maintainable, and reusable code adhering to industry best practices.
Proficient in architecture patterns such as Layered (N-Tier) ETL, Microservices, Event Driven Serverless, Data Pipeline etc.
Cloud Computing (AWS/Azure):
Deep expertise in cloud platforms such as AWS (S3, EMR, Lambda, Glue, Redshift, Athena, Kinesis, DynamoDB, Step Functions, ECS, CloudFormation) or Azure (Data Factory, Databricks, Synapse Analytics, Data Lake, Event Hubs, Blob Storage, Azure Functions).
Proficiency in leveraging cloud-native services for data storage, ETL pipelines, real-time streaming, and orchestration.
Big Data and Spark Expertise:
Experience working with Apache Spark and cloud-native Spark solutions like AWS EMR, Azure Databricks, or Google Dataproc.
Expertise in optimizing Spark jobs for performance and managing large-scale data processing workflows.
Orchestration and Workflow Automation:
Hands-on experience with orchestration tools such as Apache Airflow, AWS Step Functions, Azure Data Factory Pipelines, or Prefect for managing complex data workflows.
Data Engineering Proficiency:
In-depth knowledge of data engineering tools and technologies, such as:
ETL tools: Glue, Azure Data Factory
Data streaming: Kafka, AWS Kinesis, Azure Event Hubs.
Data storage and querying: Snowflake, Redshift, BigQuery, Synapse Analytics, Athena, Delta Lake.
Database systems: PostgreSQL, MySQL, Cassandra, MongoDB.
Performance Optimization:
Proven ability to optimize Spark jobs, SQL queries, and ETL workflows.
Experience in identifying and resolving performance bottlenecks in distributed data systems, cloud-based solutions, and pipelines.
Code Reviews and Best Practices:
Expertise in conducting code reviews to ensure adherence to SOLID principles, clean architecture, and industry-standard best practices.
Ability to mentor and guide junior developers in improving code quality and maintainability.
System Architecture and Design:
Strong experience in architecting scalable, cost-effective, and resilient systems using technologies like AWS Glue, Azure Synapse, Lake Formation, and Databricks.
Proficiency in designing and implementing Data Lakes, Data Warehouses, and real-time data pipelines.
Provide AWS architectural vision & implementation expertise throughout the assessment, proposal, design, implementation, and operational phases of a customer engagement.
Leadership and Communication:
Provide proof of concepts, analysis of alternatives, and brief their results to client stakeholders.
Responsible for cloud native architecture design, implementation of distributed, fault-tolerant enterprise applications for cloud
Build meaningful relationship with clients.
Publish whitepapers / point of views and act as an evangelist to the Deloitte brand.
Work both independently or in a team-oriented, collaborative environment based on the project requirements
Contributes significantly towards leading initiatives for development and maintenance of tools, methods, and offerings in the area of specialization
Identifies and builds productivity and efficiency drivers which substantially influence during sales pitch and become key criteria for winning new projects in the specialty area
QUALIFICATION
| Role Level: | Not Applicable | Work Type: | Full-Time |
|---|---|---|---|
| Country: | India | City: | Bengaluru ,Karnataka |
| Company Website: | http://www.deloitte.com/ | Job Function: | Information Technology (IT) |
| Company Industry/ Sector: |
Business Consulting and Services | ||
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