Sr Enterprise Data Architect at Cedent Consulting
Alpharetta, GA 30004
About the Job
Title: Sr Enterprise Data Architect @ Atlanta, GA / Bloomington, IllinoisTerms of Hire: Full Time.
Salary: $ 150 K/ YR + Benefits.Role DescriptionSeeking an experienced Data Architecture Leader to join the Enterprise Architecture team
This role will be responsible for developing data architecture plans and driving the plans to fruition in collaboration with business and IT
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
You will define cloud reference architectures to promote reusable patterns and promote best practices for data integration and consumption
You will also guide the data science team in implementing the analytics models
You will also serve as a data science architect delivering the 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 and ensures that teams are in alignment with the data architecture principles, standards, strategies, and target states.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. Provide guidance and direction to the overall technical strategy and roadmap by aligning cost-effective and reusable solutions while advancing the usage of new emerging trends and technical capabilities. Define and govern a series of deliverables and processes within the organization’s operating model, ensuring every aspect of architecture is thoroughly considered and effectively executed
Develop a community of practice for the proper execution of the architectural components and for the enablement of solutions architecture. Responsibilites: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. Qualifications:Preferred Qualifications: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.Required Qualifications:Typically requires: Bachelor’s degree and at least 15 years of equivalent work experience that provides knowledge of and exposure to fundamental theories, principal and concepts , OR Master’s degree and at least 12 years of equivalent work experience that provides knowledge of and exposure to fundamental theories, principal and concepts, OR At least 17 years of equivalent work experience that provides knowledge of and exposure to fundamental theories, principal and concepts. 2 years of lead experience.Physical Requirements:Normal office environment. Work may extend beyond normal business hours as business needs dictate. You Will Enjoy:An opportunity to be a part of a great culture, an awesome team, a challenging work environment, and some fun along the way!Apply today to learn more and be part of our Growth story.All applications will be kept strictly confidential and once shortlisted, our team will be in touch with you for further discussions. Department: ScoutThis is a full time position
Salary: $ 150 K/ YR + Benefits.Role DescriptionSeeking an experienced Data Architecture Leader to join the Enterprise Architecture team
This role will be responsible for developing data architecture plans and driving the plans to fruition in collaboration with business and IT
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
You will define cloud reference architectures to promote reusable patterns and promote best practices for data integration and consumption
You will also guide the data science team in implementing the analytics models
You will also serve as a data science architect delivering the 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 and ensures that teams are in alignment with the data architecture principles, standards, strategies, and target states.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. Provide guidance and direction to the overall technical strategy and roadmap by aligning cost-effective and reusable solutions while advancing the usage of new emerging trends and technical capabilities. Define and govern a series of deliverables and processes within the organization’s operating model, ensuring every aspect of architecture is thoroughly considered and effectively executed
Develop a community of practice for the proper execution of the architectural components and for the enablement of solutions architecture. Responsibilites: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. Qualifications:Preferred Qualifications: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.Required Qualifications:Typically requires: Bachelor’s degree and at least 15 years of equivalent work experience that provides knowledge of and exposure to fundamental theories, principal and concepts , OR Master’s degree and at least 12 years of equivalent work experience that provides knowledge of and exposure to fundamental theories, principal and concepts, OR At least 17 years of equivalent work experience that provides knowledge of and exposure to fundamental theories, principal and concepts. 2 years of lead experience.Physical Requirements:Normal office environment. Work may extend beyond normal business hours as business needs dictate. You Will Enjoy:An opportunity to be a part of a great culture, an awesome team, a challenging work environment, and some fun along the way!Apply today to learn more and be part of our Growth story.All applications will be kept strictly confidential and once shortlisted, our team will be in touch with you for further discussions. Department: ScoutThis is a full time position
