Deloitte Cloud Solutions Architect - Data and Analytics in Seattle, Washington
Our Cloud Engineering team focuses on enabling our client s end-to-end journey from On-Premise to Cloud, with opportunities in the areas of: Cloud Strategy, Op Model Transformation, Cloud Development, Cloud Integration & APIs, Cloud Migration, Cloud Infrastructure & Engineering, and Cloud Managed Services. We help our clients see the transformational capabilities of Cloud as an opportunity for business enablement and competitive advantage.
Cloud Engineering supports our clients as they improve agility and resilience, and identifies opportunities to reduce IT operations spend through automation by enabling Cloud. We accelerate our clients towards a technology-driven future, leveraging vendor solutions and Deloitte-developed software products, tools, and accelerators.
About the job
A well versed, hands on, architect who has experience architecting and developing Cloud platforms to support advanced analytic solutions at enterprise scale. This person will have a strong understanding of architectural best practices as it relates to Advanced Analytic eco system of technologies and their applicable deployments.
At least seven years of experience in the design and implementation of complex IT systems
Implementation and tuning experience in the big data Ecosystem (Amazon EMR, Hadoop, Spark, R, Presto, Hive), database (Oracle, mysql, postgres, Microsoft SQL Server), NoSQL (Amazon DynamoDB, HBase, MongoDB, Cassandra), data warehousing (Amazon Redshift, Teradata, Vertica) or data migration and integration.
Working knowledge of modern software development practices and technologies such as agile methodologies and DevOps.
Experience with a variety of BI and Analytics platforms like Tableau, Qlik, Splunk and advanced statistical analysis tools like SAS or R.
Cloud platform expertise as a thought leader and practitioner
Big Data experience leveraging a variety of cloud technologies to acquire and transform data for real time advanced analytics.
Experience managing a team of data engineers/ architects
Experience in leading large data analysis projects
Experience in architecting Cloud technologies and platforms for enterprise scale
Experience leveraging containerization technologies like Docker, Mesos, Kubernetes
2 years of developer experience leveraging Big Data technologies like Hadoop, Spark, Hive, Kafka, Hbase, MongoDB, etc.
Experience evaluating, deploying, and utilizing platforms and technologies which support SDLC leveraging CI/CD principles
H ow you ll grow
At Deloitte, our professional development plan focuses on helping people at every level of their career to identify and use their strengths to do their best work every day. From entry-level employees to senior leaders, we believe there s always room to learn. We offer opportunities to help sharpen skills in addition to hands-on experience in the global, fast-changing business world. From on-the-job learning experiences to formal development programs at Deloitte University, our professionals have a variety of opportunities to continue to grow throughout their career. Explore Deloitte University, The Leadership Center at https://zoomforth.com/s/deloitte/du#home .
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