Accenture Google Cloud Data Architect in Chicago, Illinois
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GCP Data Architect - Manager will be responsible for architecting transformation and modernization of enterprise data solutions on GCP cloud integrating native GCP services and 3rd party data technologies. A solid experience and understanding of considerations for large scale architecting, solutioning and operationalization 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.
Key responsibilities may include:
Lead a team of data engineers in designing, developing, testing, and deploying high performance data analytics solutions in GCP. As an architect, 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 Experience in building solution architecture, provision infrastructure, secure and reliable data-centric services and application in GCP Implement end-to-end data analytics solutions (from data ingestion through visualization) for large-scale, complex client environments Analyze and understand Big Data and analytical technologies on GCP and provide thought leadership to clients to assist with defining their architecture, data, analytics strategies Communicate complex technical topics to non-technical business and sr. executives Experience working with recommendation engines, data pipelines, or distributed machine learning and experience with data analytics and data visualization techniques and software Knowledge on Google AutoML framework to build intelligence into the data pipelines.
Minimum 7 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, Cloud DataProc, Cloud Dataflow, Apache Beam, BigTable, Cloud BigQuery, Cloud PubSub, Cloud Functions, etc. Minimum 2 years of hands-on experience analyzing, re-architecting and re-platforming on-premise data warehouses to data platforms on GCP cloud using GCP/3rd party services Minimum 2 years of designing and building production data pipelines from ingestion to consumption within a hybrid big data architecture, using Java, Python, Scala etc. Minimum 2 years of architecting and implementing next generation data and analytics platforms on GCP cloud Minimum 2 years of designing and implementing data engineering, ingestion and curation functions on GCP cloud using GCP native or custom programming Minimum 2 years of experience in performing detail assessments of current state data platforms and creating an appropriate transition path to GCP cloud Hands-on GCP experience with a minimum of 1 solution designed and implemented at production scale Bachelor's degree or equivalent (minimum 12 years) work experience. If Associate Degree, must have minimum 6 years work experience Ability to meet travel requirements (100% Monday-Thursday)
Minimum 2 years of experience in architecting large-scale data solutions, performing architectural assessments, crafting architectural options and analysis, finalizing preferred solution alternative working with IT and Business stakeholders 2 years of hands-on experience designing and implementing data ingestion solutions on GCP using GCP native services or with 3rd parties such as Talend, Informatica 2 year of hands-on experience architecting and designing data lakes on GCP cloud serving analytics and BI application integrations Minimum 2 years of experience in designing and optimizing data models on GCP cloud using GCP data stores such as BigQuery, BigTable Minimum 1 year of experience introducing and operationalizing self-service data preparation tools (e.g. Trifacta, Paxata) on GCP Minimum 1 year of architecting and operating large production Hadoop/NoSQL clusters on premise or using Cloud services Minimum 1 year of architecting and implementing metadata management on GCP Architecting and implementing data governance and security for data platforms on GCP Designing operations architecture and conducting performance engineering for large scale data lakes a production environment Craft and lead client design workshops and provide tradeoffs and recommendations towards building solutions Author blog entries and whitepapers on GCP data solutions, architecture and strategic topics Bachelor's degree in Computer Science, Engineering, Technical Science or 5 years of technical architecture and build experience with large scale solutions 5+ years’ experience writing complex SQL queries, stored procedures, etc. Demonstrate experience presenting technical topics in front of an audience Google Certified Professional Data Engineer
Professional Skill Requirements:
Proven ability to build, manage and foster a team-oriented environment Excellent communication (written and oral) and interpersonal skills Excellent leadership and management skills Proven ability to work creatively and analytically in a problem-solving environment.
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