Enterprise Data Architect

3 days ago


Reston, Virginia, United States Request Technology, LLC Full time
Job Title: Enterprise Data Architect

We are seeking a highly skilled Enterprise Data Architect to join our team at Request Technology, LLC. This is a permanent full-time role that requires a strong background in cloud data architecture, data governance, and data science.

Key Responsibilities:
  • Develop data architecture plans and drive them to fruition in collaboration with business and IT teams.
  • Play a key role in driving 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 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.
  • Guide application development teams in the data design of complex solutions and ensure alignment with 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, preferably with 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 data domains, including 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.
  • Capable of communicating data concepts to varied forums and audiences, advocating for the importance of data quality, data standards, managed replication, and co-existent/federated data in an enterprise data ecosystem.
  • Experience with cloud data technologies, such as Azure data factory, Azure Data Fabric, Azure storage, Azure data lake storage, Azure data bricks, Azure AD, and Azure ML.
  • 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.


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