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

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

EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.