EY - GDS Consulting - AI And DATA - GCP - Manager

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The opportunity

 

We are seeking an experienced GCP Data Architect to design and implement scalable cloud-native data platforms, data lakes, and enterprise data warehouse solutions on Google Cloud Platform (GCP). The candidate will be responsible for defining/evaluating architecture standards, designing data integration frameworks, guiding engineering teams, and delivering business-focused analytics solutions

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Your key responsibilities

 

• Design and implement enterprise-scale Data Lake and Data Warehouse solutions on GCP
• Well-versed with ETL process- SCD handling, incremental and historic loads, Failover processing, recovery and reprocessing of data pipelines, Data quality framework and controls
•  Define end-to-end data architecture (Lakehouse, event-driven) including ingestion, transformation, governance, security, and consumption layers
•  Develop cloud-native data integration solutions using Google Cloud services
• Architect data pipelines for multiple source systems such as fund administrations, SQL Server, APIs, and external platforms
• Design and develop pub/sub ingestion streams
• Implement data profiling, data quality, encryption, and compliance controls using GCP-native services.
• Establish orchestration frameworks and workflow automation strategies using Cloud Composer and Airflow
•  Lead solution design reviews and provide technical guidance to development teams
•  Collaborate with business stakeholders to translate business requirements into scalable data solutions.
•  Present architecture solutions to internal leadership and client stakeholder

Design & implement data mart (foundational and consumer marts)

 

Other Responsibilities

 

• Implement design level technical best practices
• Interface and communicate with the client team and onshore coordinators
• Completion of assigned tasks on time and regular status reporting to the lead
• Agree on level of documentation with clients and track to sign of them.
• Work with client on design approvals.
• Help client select tools and technologies necessary for the scope of the project.
• Define and develop client specific best practices around data management within a cloud environment
• Recommend design alternatives for data ingestion, processing and provisioning layers
• Design and develop data ingestion programs to process large data sets in Batch mode using Spark, or similar technologies

 

Required Skills (Mandatory)

 

• Strong understanding & familiarity with all GCP ecosystem components
• Strong understanding of underlying GCP Architectural concepts and distributed computing paradigms
• Hands-on programming experience in Apache Spark using Python/Scala and Spark Streaming
• Hands on experience with major big data components in GCP like GCP Data Proc, Big Query, Google Pub Sub, Google Data Flow
• Experience in designing and implementing data marts (foundational and consumer marts)
• Hands-on experience on SQL and Datawarehouse
• Experience working with NoSQL in at least one of the data stores like GCP Firestore, GCP Datastore, GCP Big Table or MonogBD ATLAS
• Knowledge of Spark and Kafka integration with multiple Spark jobs to consume messages from multiple Kafka partitions
• Solid understanding of ETL methodologies in a multi-tiered stack
• Familiarity with financial data products and domains- preferably asset wealth management data products (public/private markets)
• Experience in converting business problems/challenges to technical solutions considering security, performance, scalability etc.
• Experience in Enterprise grade solution implementations.
• Experience in performance bench marking enterprise applications
• Experience in Data security [on the move, at rest]
• Experience in Scheduler/Orchestration tools like Airflow or CloudComposer
• Experience/exposure to building CI/CD pipelines and containerization (Docker, K8s etc)

 

Your people responsibilities

• Should guide and mentor fresh team members on Cloud technology- GCP
• Create a well-informed cloud data strategy and manage the adaption process
• Offer guidance in infrastructure movement techniques including bulk application transfers into the cloud
• Provide prompt response to technical issues in a professional manner
• Lead a team

 

Qualifications

 

• Minimum of 10 years of experience in data space
• Should have completed at least 3 full life cycle experience in Cloud projects
• Must have at least 7+ years of deep experience in Cloud implementations
• Design, develop and implement datalake designs from the ground up to stage, modify and  load data received from various sources
• Flexible and proactive/self-motivated working style with strong personal ownership of problem resolution.
• Excellent communicator (written and verbal formal and informal).
• Ability to multi-task under pressure and work independently with minimal supervision.
• Strong verbal and written communication skills.
• Must be a team player and enjoy working in a cooperative and collaborative team environment.
• Adaptable to new technologies and standards.
• Participate in all aspects of Cloud solution delivery life cycle including analysis, design, development, testing, production deployment, and support.
• Minimum 7 years hand-on experience in one or more of the above areas.
• Minimum 12 years industry experience

 

Ideally, you’ll also have

• Project management skills
• Client management skills
• Solutioning skills

 

What we look for

 

People with technical experience and enthusiasm to learn new things in this fast-moving environment

 

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