AWS Snowflake Manager
The beginning of a new Data & AI decade that will reshape work and society has begun. Accenture is stepping boldly into this future with a clear strategy and purpose: to help clients optimize and reinvent their business with data & AI — backed by a $3B investment and commitment to our people to do industry-defining work.
With over 45,000 professionals dedicated to Data & AI, Accenture’s Data & AI organization brings together our Experienced Innovation, Strategic Investment, Exceptional Talent, and Power Ecosystem.
You are:
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.
Willing to travel up to 100%
What you need:
- Minimum of 7 years of experience in ability to relate and connect complex business issues and articulate solution using curated and/or raw data
- Minimum of 7 years of experience with Data warehousing methodologies and modelling techniques
- Minimum of 3 years of - In-depth understanding of the Snowflake architecture, and differentiation. Need to have the understanding and the know how in using features such as Zero Copy Clone, Time Travel, User defined functions, etc
- Minimum of 3 years of experience in Managing security in Snowflake. This includes creation of custom Roles to control access to Data, Databases, Warehouses etc.
- Minimum of 3 years of experience in designing Compute Clusters (Warehouse) in Snowflake
- Minimum of 2 years of experience in Snowpipe for handling Streaming data
- Minimum of 2 years of experience in handling semi-structured data (JSON, XML) using the VARIANT attribute in Snowflake
- Minimum of 2 years of experience in Re-clustering of the data in Snowflake with good understanding on how Micro-Partition works inside Snowflake
- Minimum of 5 years of experience in creating master data datasets.
- Minimum of 8 years of experience in working with Batch and Stream data
- Expert in SQL
- Minimum of 5 years of hands-on experience in Cloud technologies such as
- AWS - S3, Glacier, EC2, Lambda, SQS, Redshift
- Azure - Blob Storage, Cool Blob Storage, Virtual Machine, Functions, SQL Datawarehouse
- GCP - Cloud Storage, Coldline Cloud Storage, Compute Engine, Cloud Functions, Big Query
- Minimum of 5 years of experience with ELT concepts with design experience of architecting data flows into a Massively Parallel Processing (MPP) Analytical Datastores
- Minimum of 5 years of experience with ETL tools such as Informatica, Talend, Matillion
Bonus points is you have:
- Experience with a MDM tool is preferred
- Experience in Hadoop, Hive, HBASE, Spark is a plus
- Experience in building Generative AI accelerators is a plus
Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired in California, Colorado, District of Columbia, Maryland, New York or Washington as set forth below.
We accept applications on an on-going basis and there is no fixed deadline to apply.
Information on benefits is here.
Role Location
California $73,000 to $220,400
Colorado $73,000 to $190,400
District of Columbia $77,700 to $202,700
New York $67,600 to $220,400
Maryland $67,600 to $176,300
Washington $77,700 to $202,700
#LI-MP
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Chicago, IL
Arlington, VA
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Florham Park, NJ
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Walnut Creek, CA
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