Accenture AWS Data Architect in Detroit, Michigan
Who we areWe are Accenture, a global professional services company and a leading partner to the world’s major cloud providers, including AWS, Azure, and Google. Our longstanding involvement with cloud technology (we have 34,000 completed cloud projects under our belt) was emphasized recently when we consolidated our multiple cloud teams into a single business practice called Accenture Cloud First. The organization is backed by a $3 billion investment over three years.
As part of our Data & AI group, you will lead technology innovation for our clients through robust delivery of world-class solutions. There will never be a typical day and that’s why people love it here. The opportunities to make a difference within exciting client initiatives are unlimited in the ever-changing technology landscape. You will be part of a highly collaborative and growing network of technology and data experts, who are taking on today’s biggest, most complex business challenges using the latest data and analytics technologies. We will nurture your talent in an inclusive culture that values diversity. You will have an opportunity to work in roles such as Data Scientist, Data Engineer, or Chief Data Officer covering all aspects of Data including Data Management, Data Governance, Data Intelligence, Knowledge Graphs, and IoT. Come grow your career in Technology at Accenture!
The Amazon AWS Technical Architect is responsible for delivering Data On Cloud projects for Amazon AWS based deals. The ideal candidate would also be responsible for developing and delivering AWS cloud solutions to meet today’s high demand in areas such as AIML, IoT, advanced analytics, open source, enterprise collaboration, microservices, serverless, etc. The Amazon AWS Technical Architect is responsible for delivering Cloud based Big Data and Analytical Solutions to our clients. Responsibilities include evangelizing data on cloud solutions with customers, leading Business and IT stakeholders through designing a robust, secure and optimized AWS architectures and ability to be hands-on delivering the target solution. This role will work with customers and leading internal data engineers in delivering big data solutions on cloud. Using Amazon AWS public cloud technologies, our Technical Architect professionals implement state of the art, scalable, high performance Data On Cloud solutions that meet the need of today’s corporate and emerging digital applications.
What you need- Minimum of 5 years of Consulting or client service delivery experience on Amazon AWS (AWS)- Minimum of 10 years of experience in big data, database and data warehouse architecture and delivery- Minimum of 5 years of professional experience in 2 of the following areas:- Solution/technical architecture in the cloud- Big Data/analytics/information analysis/database management in the cloud- IoT/event-driven/microservices in the cloud- Experience with private and public cloud architectures, pros/cons, and migration considerations.- Extensive hands-on experience implementing data migration and data processing using AWS services: VPC/SG, EC2, S3, AutoScaling, CloudFormation, LakeFormation, DMS, Kinesis, Kafka, Nifi, CDC processing Redshift, Snowflake, RDS, Aurora, Neptune, DynamoDB, Cloudtrail, CloudWatch, Docker, Lambda, Spark,Glue, Sage Maker, AI/ML, API GW, etc.- Familiarity with the Technology stack available in the industry for data management, data ingestion, capture, processing and curation: Kafka, StreamSets, Attunity, GoldenGate, Map Reduce, Hadoop, Hive, Hbase, Cassandra, Spark, Flume, Hive, Impala, etc.- Bachelor’s Degree or equivalent amount of work experience (12 years), or Associate’s Degree with six years of work experience.Certifications- Certified AWS Solutions Architect - Associate
Bonus points if you have- Certified AWS Solutions Architect – Professional (Nice to have)- Certified AWS Big Data Specialty (Nice to have)- Certified AWS AI/ML Specialty (Nice to have)- DevOps on an AWS platform. Multi-cloud experience a plus.- Experience developing and deploying ETL solutions on AWS- Strong in Java, C##, Spark, PySpark, Unix shell/Perl scripting- Familiarity with the technology stack available in the industry for metadata management: Data Governance, Data Quality, MDM, Lineage, Data Catalog etc.- Multi-cloud experience a plus - Azure, AWS, GoogleProfessional Skill Requirements- Proven ability to build, manage and foster a team-oriented environment- Proven ability to work creatively and analytically in a problem-solving environment- Desire to work in an information systems environment- Excellent communication (written and oral) and interpersonal skills- Excellent leadership and management skills
Unless expressly indicated, this role is not open in the state of Colorado. As required by the Colorado Equal Pay Transparency Act, Accenture provides a reasonable range of minimum compensation for roles that may be hired in Colorado. Actual compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, and specific office location. For the state of Colorado only, the range of starting pay for this role is $99,900 - $207,399 and information on benefits offered is here. (https://www.accenture.com/us-en/careers/your-future-rewards-benefits)
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