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Senior Enterprise Data Architect

Request Technology - Robyn Honquest

Posted on Nov 5, 2020 by Request Technology - Robyn Honquest

Alpharetta, GA 30004
Immediate Start
$145k - $165k Annual

Senior Enterprise Data Architect

Looking for a candidate to be in charge of developing data architecture plans and data analytics initiatives, cloud transformation, data governance, data quality, MDM and data science. Company is actively seeking for an experienced Data Architecture Leader to join the Enterprise Architecture team. You will play a key role in driving a number of data and analytics initiatives including: cloud data transformation, data governance, data quality, MDM, and data science.

This role will build, maintain and govern an enterprise level blueprint depicting a holistic view of the organization's business strategy through the supporting technology. Partner with Business representatives, Application Portfolio & Application Development, Engineering, Operations and Support, IT Security, Digital partners, IT Planning, and the Project Management Office.


  • Strong cloud data architecture knowledge with experience developing architecture strategies and plans to enable cloud data transformation, MDM, data governance, and data science capabilities.
  • Design reusable data architecture and best practices to support batch/streaming ingestion, efficient batch, Real Time, and near Real Time integration/ETL, integrating quality rules, and structuring data for analytic consumption by end uses.
  • Ability to lead software evaluations including RFP development, capabilities assessment, formal scoring models, and delivery of executive presentations supporting a final recommendation.
  • Well versed in the Data domains (Data Warehousing, Data Governance, MDM, Data Quality, Data Catalog, Analytics, BI, Operational Data Store, Metadata, Unstructured Data, ETL, ESB).
  • Experience with cloud data technologies such as Azure data factory, Azure storage, Azure data lake storage, Azure data bricks, Azure AD, Azure ML etc.
  • Experience with big data technologies such as Hadoop, Spark, Sqoop, Hive, Flume, Storm, and Kafka.
  • Bachelor's degree and at least 15 years of equivalent work experience
  • 2 years of lead experience.

Reference: 994626387

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