Architect

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

 

Qualifications and Experience

Required:

15+ years of industry experience, with at least 8+ years in a technical architect role designing applications and hosting solutions as public/private cloud SaaS PaaS platforms.

At least 10+ years of hands-on experience in cloud native architecture design, implementation of distributed, fault-tolerant enterprise applications for cloud.

Experience in application migration and modernization of legacy applications to AWS cloud platforms.

 Experience in building estimation models for specific technologies of expertise

 

Experience in leading and managing teams within specialist areas from project planning to execution

 

Familiarity of principles summarized in the AWS Cloud Adoption and Well-Architected Frameworks

Deep expertise of architecting and designing end-to-end AWS solutions architecture, recommending best cloud architecture patterns suiting the business problems, (Integrating services like: Glue, Redshift, EMR, Step Function, Amazon MQ, Lambda, AWS S3 and storage classes, etc.)

Working experience of designing approach and migrating solution from on-prem using AWS Database Migration, Migration Hub, Application Migration Service, etc.

Good to have hands-on experience with Kubernetes, EKS or OpenShift container platforms

Strong understanding of BigData architecture, design and implementation creating cloud architecture leveraging PaaS.

Strong understanding of the cloud native development practices and architectural patterns.

Understanding of data services including RDS, DynamoDB, Amazon Keyspace, DocumentDB, ElastiCache, RedShift and when to use each.

Understanding of the impact of technology on client business processes and plan the risk mitigation steps.

Experience in leading and managing teams within specialist areas from project planning to execution

Candidates with AWS Solution architect certifications will be preferred (SAA-C03)