Enterprise Data Architect
*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: 2827710564
Enterprise Data Architect
Posted on Sep 24, 2024 by Request Technology
*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: 2827710564
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