Enterprise Data Architect

Posted on Nov 12, 2024 by Request Technology
Illinois, IL
IT
Immediate Start
$160k - $200k Annual
Full-Time

*We are unable to sponsor as this is a permanent Full time role*

*Remote except in: California, Delaware, District of Columbia, Kentucky, New Hampshire, New Jersey, New York, Pennsylvania, Vermont, West Virgina*

A prestigious company is looking for a Data Architect. This architect will focus on enterprise data architecture which includes cloud data transformation, data governance, data quality, data standards, CRM, MDM, Generative AI and data science.

Responsibilities:

  • This role will be responsible for developing data architecture plans and driving the plans to fruition in collaboration with business and IT.
  • Play a key role in driving a number of data and analytics initiatives including: cloud data transformation, data governance, data quality, data standards, CRM, MDM, Generative AI and data science.
  • Define cloud reference architectures to promote reusable patterns and promote best practices for data integration and consumption.
  • Guide the data science team in implementing data models and analytics models.
  • Serve as a data science architect delivering technology and architecture services to the data science community.
  • In addition, you will also guide application development teams in the data design of complex solutions, in a large data eco-system, and ensure that teams are in alignment with the data architecture principles, standards, strategies, and target states.
  • Create, maintain, and govern architectural views and blueprints depicting the Business and IT landscape in its current, transitional, and future state.
  • Define and maintain standards for artifacts containing architectural content within the operating model.
  • Build a Community of Practice for solutions architecture while leveraging architectural tools, processes, and practices.

Qualifications:

  • Strong cloud data architecture knowledge (preference for Microsoft Azure)
  • 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 Standards, Data Catalog, Analytics, BI, Operational Data Store, Metadata, Unstructured Data, non-traditional data and multi-media, ETL, ESB).
  • Capable of communicating data concepts to varied forums and audiences (including business and technology), and advocating for the importance of data quality, data standards, managed replication, and co-existent/federated data in an enterprise data eco-system.
  • Experience with cloud data technologies such as Azure data factory, Azure Data Fabric, Azure storage, Azure data lake storage, Azure data bricks, Azure AD, Azure ML etc.
  • Experience with big data technologies such as Cloudera, Spark, Sqoop, Hive, HDFS, Flume, Storm, and Kafka.
  • Experience with Microsoft CoPilot, and exposure to TensorFlow, Python NLTK are a plus
  • Typically requires 17 years of relevant experience or a combination of related experience, education and training.

Reference: 2849342474

https://jobs.careeraddict.com/post/97039354

This Job Vacancy has Expired!

Enterprise Data Architect

Posted on Nov 12, 2024 by Request Technology

Illinois, IL
IT
Immediate Start
$160k - $200k Annual
Full-Time

*We are unable to sponsor as this is a permanent Full time role*

*Remote except in: California, Delaware, District of Columbia, Kentucky, New Hampshire, New Jersey, New York, Pennsylvania, Vermont, West Virgina*

A prestigious company is looking for a Data Architect. This architect will focus on enterprise data architecture which includes cloud data transformation, data governance, data quality, data standards, CRM, MDM, Generative AI and data science.

Responsibilities:

  • This role will be responsible for developing data architecture plans and driving the plans to fruition in collaboration with business and IT.
  • Play a key role in driving a number of data and analytics initiatives including: cloud data transformation, data governance, data quality, data standards, CRM, MDM, Generative AI and data science.
  • Define cloud reference architectures to promote reusable patterns and promote best practices for data integration and consumption.
  • Guide the data science team in implementing data models and analytics models.
  • Serve as a data science architect delivering technology and architecture services to the data science community.
  • In addition, you will also guide application development teams in the data design of complex solutions, in a large data eco-system, and ensure that teams are in alignment with the data architecture principles, standards, strategies, and target states.
  • Create, maintain, and govern architectural views and blueprints depicting the Business and IT landscape in its current, transitional, and future state.
  • Define and maintain standards for artifacts containing architectural content within the operating model.
  • Build a Community of Practice for solutions architecture while leveraging architectural tools, processes, and practices.

Qualifications:

  • Strong cloud data architecture knowledge (preference for Microsoft Azure)
  • 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 Standards, Data Catalog, Analytics, BI, Operational Data Store, Metadata, Unstructured Data, non-traditional data and multi-media, ETL, ESB).
  • Capable of communicating data concepts to varied forums and audiences (including business and technology), and advocating for the importance of data quality, data standards, managed replication, and co-existent/federated data in an enterprise data eco-system.
  • Experience with cloud data technologies such as Azure data factory, Azure Data Fabric, Azure storage, Azure data lake storage, Azure data bricks, Azure AD, Azure ML etc.
  • Experience with big data technologies such as Cloudera, Spark, Sqoop, Hive, HDFS, Flume, Storm, and Kafka.
  • Experience with Microsoft CoPilot, and exposure to TensorFlow, Python NLTK are a plus
  • Typically requires 17 years of relevant experience or a combination of related experience, education and training.

Reference: 2849342474

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