Google Cloud Data Architecture Manager

We are:
A  leading partner to the world’s major cloud providers, including AWS, Azure, and Google. The formation of Accenture Cloud First, with a $3 billion investment over three years, demonstrates our commitment to deliver greater value to our clients when they need it most and offers huge growth opportunities for you!
Our Cloud First group of more than 70,000 cloud professionals delivers a full stack of integrated cloud capabilities across data, edge, integrated infrastructure and applications, deep ecosystem skills, culture of change along with a deep industry expertise to shape, move, build and operate our clients’ businesses in the cloud.  To accelerate our customers transformation leveraging cloud, we combine world-class learning and talent development expertise; deep experience in cloud change management; and cloud-ready operating models with a commitment to responsible business by design — with security, data privacy, responsible use of artificial intelligence, sustainability and ethics and compliance built into the fundamental changes Accenture helps companies achieve.
We are excited about the opportunities in the Cloud – and hope you are too! Learn more about why Accenture’s Google Cloud Business Group was named the 2019 Industry Solutions Partner of the Year
You are:
The Google Cloud Platform (GCP) Data Engineer will be responsible for designing and developing enterprise data solutions on GCP cloud integrating native GCP services and 3rd party data technologies. A solid experience and understanding of considerations for design and development of data warehouses, data lakes and analytics platforms on GCP is a must. We are looking for candidates who have a broad set of technology skills across these areas and who can demonstrate an ability to design right solutions with appropriate combination of GCP and 3rd party technologies for deploying on GCP cloud.
The work:
- Design pipelines and architectures for data processing
- Work with business and data team to efficiently use Google Cloud platform to analyze data, build data models on Big query , big table
- Develop data architectures and data migration to cloud strategy
- Work with business SME to perform source system data analysis, data mappings and build data inventory
- Work with implementation teams from concept to operations, providing deep technical subject matter expertise for successfully deploying large scale data solutions in the enterprise, using modern data/analytics technologies on premise and cloud
- Integrate massive datasets from multiple data sources for data modelling
- Implement methods for devops automation of all parts of the build data pipelines to deploy from development to production
- Formulate business problems as technical data problems while ensuring key business drivers are captured in collaboration with product management
For now, all Accenture business travel, international and domestic, is currently restricted to client-essential sales/delivery activity only.
Please note: The safety and well-being of our people continues to be the top priority, and our decisions around travel are informed by government COVID-19 response directives, recommendations from leading health authorities and guidance from a number of infectious disease experts.

Who do we need
- Active Google Cloud Data Engineer Certification or Active Google Professional Cloud Architect Certification
- Minimum of 8 years of designing, building and operationalizing large-scale enterprise data solutions and applications using one or more of GCP data and analytics services in combination with 3rd parties - Spark, Hive, Cloud DataProc, Cloud Dataflow, Apache Beam/ composer, Big Table, Cloud BigQuery, Cloud PubSub, Cloud storage Cloud Functions & Github.
- Minimum of 5 year of experience in performing detail assessments of current state data platforms and creating an appropriate transition path to GCP cloud
- Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate Degree, must have minimum 6 years work experience).
Bonus points if you have:
- Data migration experience from legacy systems including Hadoop, Exadata, Oracle Teradata, or Netezza
- Experience with Data lake, data warehouse ETL build and design
- Minimum of 5 years of designing and building production data pipelines from data ingestion to consumption within a hybrid big data architecture, using Cloud Native GCP, Java, Python, Scala, SQL etc.
- Minimum of 3 year of architecting and implementing next generation data and analytics platforms on GCP cloud
Growth Opportunities
You will always be learning in this role through:
- On the job learning: opportunity to be immersed in the design and implementation of human-centric solutions to help solve client’s largest and most complex challenges, powered by the latest Google technologies and industry’s best practices such event-driven architectures and domain driven design. Collaborate on internal assets and contribute to open source community projects.
- Being part of Accenture Google Business Group’s close-knit, vibrant community; client teams pushing the boundaries of new business capabilities and emerging Google technologies sharing their experiences and lessons learned with each other. Opportunity to learn and work with Accenture’s certified Google Fellows and certified Google Cloud practitioners.