Unclassified - Alpharetta, GA

posted about 1 month ago

Full-time - Senior
Alpharetta, GA

About the position

The Sr Enterprise Data Architect will play a pivotal role in the Enterprise Architecture team, focusing on developing and executing data architecture plans in collaboration with both business and IT stakeholders. This position is designed for an experienced Data Architecture Leader who will spearhead various data and analytics initiatives, including cloud data transformation, data governance, data quality, Master Data Management (MDM), and data science. The architect will be responsible for defining cloud reference architectures that promote reusable patterns and best practices for data integration and consumption. Additionally, the role involves guiding the data science team in implementing analytics models and serving as a data science architect, delivering technology and architecture services to the data science community. In this capacity, the Sr Enterprise Data Architect will build, maintain, and govern an enterprise-level blueprint that provides a holistic view of the organization's business strategy through the supporting technology. This includes partnering with business representatives, application portfolio and development teams, engineering, operations, IT security, digital partners, IT planning, and the project management office. The architect will provide guidance and direction for the overall technical strategy and roadmap, ensuring that cost-effective and reusable solutions are aligned with emerging trends and technical capabilities. Furthermore, the architect will define and govern a series of deliverables and processes within the organization's operating model, ensuring that every aspect of architecture is thoroughly considered and effectively executed. A key responsibility will be to develop a community of practice for the proper execution of architectural components and the enablement of solutions architecture.

Responsibilities

  • Create, maintain, and govern architectural views and blueprints depicting the Business and IT landscape in its current, transitional, and future state.
  • Recommend long-term direction on strategic advancements within the technical portfolio.
  • 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.
  • Offer insight, guidance, and direction on the usage of emerging trends and technical capabilities.

Requirements

  • Bachelor's degree and at least 15 years of equivalent work experience, OR a Master's degree and at least 12 years of equivalent work experience, OR at least 17 years of equivalent work experience.
  • 2 years of lead experience.
  • 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 users.
  • 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.

Benefits

  • Competitive salary of $150K per year
  • Full-time employment
  • Opportunity to be part of a great culture and an awesome team
  • Challenging work environment
  • Confidential application process
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