Senior Data Architect, BI Data Services

3 weeks ago

Los Angeles, California, United States Aspire Bakeries Full time

Aspire Bakeries is a leading North American baking company with a strong presence in the specialty frozen baked goods market. With a portfolio of innovative food products, including breads, artisan breads, buns, cookies, donuts, muffins, and pastries from beloved brands like La Brea Bakery, Otis Spunkmeyer, and Oakrun Farm Bakery, we are committed to driving innovation and exceeding customer expectations.

The Senior Developer, BI Data Services plays a critical role in leading the design, development, and implementation of enterprise data solutions, ensuring robust data systems and enhancing data consumption capabilities across the organization. This position requires collaboration with various departments, providing technical support, optimizing data queries, and driving business intelligence initiatives to support our data-driven decision-making process.

Key Responsibilities:

  • Design, build, and implement enterprise-grade data solutions for large-scale, multi-tenant data systems and solutions, including data warehouses, data marts, and data lakes.
  • Perform complex systems development and design work, including logic and architecture design for on-premise and cloud-based data solutions.
  • Analyze and identify source-to-target mappings, develop ETL/ELT specifications, and perform ETL/ELT development, deployment, and monitoring for enterprise data systems.
  • Execute Data Services strategy utilizing modern data technologies, including Cloud data platforms and services, data pipeline tools, and analytics services.
  • Deliver on Business Intelligence & Analytics strategy for assigned domains, leveraging SAP Business Warehouse, Business Objects, PowerBI, and drive alignment with business partners for execution support.
  • Own technical responsibility for assigned BW backend data architecture for SAP and non-SAP data sources.
  • Review completion and implementation of system additions and/or enhancements and make recommendations for future development.
  • Collaborate with engineering and business stakeholders to understand data requirements and coordinate activities to facilitate internal and user acceptance testing.
  • Design and build BI reports & queries using applicable SAP, Business Objects, PowerBI, or other existing reporting tools and support query optimization.
  • Provide Production support for existing BI applications and systems, resolving second and third-tier Help Desk tickets related to data sources, data warehouses, and reporting solutions.

Qualifications:

  • Bachelor's Degree from an accredited college in a related field or equivalent work experience in a quantitative and engineering discipline.
  • 5+ years of experience in Business Intelligence/Decision Support/Data Engineering/Data Warehousing roles working with multiple disparate, large, complex datasets.
  • Advanced knowledge of and experience in Data Warehouse concepts, data modeling, SQL, ETL/ELT technologies.
  • 5+ years of proven system/application experience in building SAP BW and BI solutions.
  • Experience in business analytics, enterprise reporting, executive dashboards, scorecards, alerts, subscription push reporting, etc.
  • Strong knowledge & experience in SAP BW & HANA modeling, ABAP/4, and AMDP code design and development.
  • Hands-on experience with ABAP to write Datasource Enhancements Function module, extractors Transformation Routines, and experience in writing Transformations using AMDP scripts.
  • Strong experience with BI analytical tools and Business Objects based development integrated with an SAP BW and non-SAP environments.

Preferred Qualifications:

  • 3+ years of experience with Cloud data platforms and services building Data Marts/Warehouses/Lakes, Pipelines, and Datasets utilizing Microsoft Azure, AWS, Datasphere.
  • Experience with ERP systems and familiarity with Manufacturing industry processes along with Supply Chain.
  • Experience with modern reporting and analytics tools, such as Business Objects, PowerBI, Tableau, Domo, Qlik, Looker, Alteryx.
  • Experience in advanced analytics, corporate performance management, predictive analysis, etc.
  • Exposure to cloud architecture for BI, Data Warehousing, Data Marts, Data Lakes, in-memory data exploration tools, and other data warehousing analytics solutions.
  • Experience managing large volumes of data and designing/building/optimizing for performance.
  • Work experience with External Partners or 3rd Parties in an offshore/onshore delivery model.
  • Experience working with Python, R, particularly for ETL or Data Science related tasks.
  • Ability to identify, propose, and influence technology solutions to improve and maintain optimal data and architecture to support business requirements.

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