Enterprise Data Architect at Schneider Electric USA, Inc in andover, Massachusetts

Job Description:

Come join the Enterprise Architecture team at Schneider Digital that is driving the digital transformation across SE domains.

What you get to do in this role:

• Define and implement a data strategy and roadmap for Schneider Digital working closely with business domains.
• Define policies and establish standards for modeling, structuring, naming, describing, securing, and. formatting data
• Work with business and IT leadership to define and document the data architecture for enterprise data assets
• Develop conceptual, logical, and physical data models with associated metadata including data lineage and technical data definitions
• Provide direction and guidance in the implementation of data warehouses, marts, cubes,lakes and universes to support analytic work product requirements
• Lead efforts to implement a reference data and master data management strategy in close collaboration with Data & Performance team.
• Effectively work across team boundaries to establish data architecture and provide guidance to individual teams.
• Design and develop end to end robust, scalable data ingestion pipelines and data platform architecture that will support the analytical and reporting needs of the various business organizations.
• Work closely with the Data & Analytics team to help build the backend solutions for reporting, dashboarding, and analysis.
• Ability to architect and build an end to end data platforms.
• Strong understanding and experience building ELT/ETL solutions for both structured and unstructured data sets.
• Launch and support new data models that provide intuitive analytics to internal customers
• Prototype new technologies and implement innovative solutions to enable teams to consume and understand data faster.
• Leverage business and domain acumen to interpret and translate business requirements to architecture/technology plans.

• Bachelor's degree or equivalent in Computer Science, Computer Engineering, Information Systems or similar. Master's degree preferred
• 10 years of hands-on experience working in enterprise-scale data warehousing, data architecture, and/or data engineering environments.
• 3 years working as an Enterprise Architect with a good understanding of Enterprise Architecture as a practice. Practitioner's knowledge of TOGAF or alternate frameworks is a plus.
• 5 years of designing, implementing, and building pipelines (ETL) that deliver data with measurable quality under the SLA
• 5 years of SQL (HANA, Snowflake, Oracle, AWS Redshift, Databricks, Hive etc.) experience is required
• 5 years of hands-on data modeling experience, especially dimensional data modeling
• Must have knowledge of Tableau, Qlik or other Data visualization tools
• Strong understanding of core infrastructure components (servers, network, storage).
• Experience with Enterprise Data Governance, Big Data Solutions, Master data management, Data Privacy and Security, Machine Learning, and Data Pipeline Operations.
• Experience with building analytic solutions applicable to Sales, Finance, Product, and Marketing organizations in an enterprise.
• Experience implementing operational best practices such as monitoring, alerting, metadata management.
• Experience managing, measuring, improving data quality in a data warehouse.
• Communication skills including the ability to identify and communicate data-driven insights