SAP BI Data Architect

4 weeks ago

Etobicoke ON, Canada Altis Technology Full time

The Data Architect’s role is to plan, coordinate, architect, and supervise all activities related to the integration of software programs, applications, and third-party solutions as required to meet the business requirements. Conduct workshops with customer's business and IT teams and capture, document and summarize the business requirements, prioritize business use cases, and define implementation roadmap, Provide solutions for variety of Data and Analytics requirements from customers, such as Greenfield EDW, Data Lake Implementation, Data Estate Modernization, Tools / Technology comparison and selection, etc. Create Architecture and high-level design for data & analytics solutions, provide effort estimates for large EDW / Data Lake implementations, guide technical team of deliverables, and get the solution implemented, conduct proof of concepts and create differentiating assets, conduct trainings and workshops on new technologies and trends. What You Will Do:
Strategy & Planning
Develop and maintain enterprise data architecture strategy for the organization.
Orchestrate Data and Analytics Solutions projects and corresponding strategies between business units and development teams.
Ensure that planning and practices are aligned with strategic business goals and the company’s overall strategic vision.
Develop standards and processes to support and facilitate data and analytics projects and initiatives.
Develop and lead innovations related to Enterprise Data Architecture and frameworks, supporting our client’s Enterprise Data Architecture strategy.
Acquisition & Deployment
Research and make recommendations on products and services in support of procurement and development efforts.
Collaborate with analysts, business users, and functional users in the testing of Data and Analytics solutions.
Lead architecture, implementation and testing phase of Enterprise Data Architecture projects in order to identify and remedy potential problem areas.
Build relationships with BPMO, Data Analysts, Business Analysts, end users and functional teams to gain an understanding of architectures and required functionality.
Build relationships with vendors of application software deployed in the organization’s IT environment to learn about and provide feedback on their technical integration capabilities.
Operational Management
Ensure the collection and coherent interpretation of the various business processes affected by Enterprise Solutions efforts.
Work diligently to enhance or improve business processes or, as necessary, minimize the impact of Enterprise Data Architecture Solutions projects on those processes.
Evaluate results of Enterprise Solutions projects, then report and make recommendations based on findings.
Where necessary, provide guidance to junior members of the team.
What you Bring to the Team
~10+ years of overall experience in architecting and building data and analytics solutions, including Azure Data platform implementation.
~ Proven experience in overseeing the linking of cross-functional applications between disparate business units and systems.
~ Deep understanding of ETL, reporting, data modeling concepts and data warehouse architecture.
~ Experienced in analysis, design, data modelling and effort estimation.
~ Experience in working with SAP, SAP BW, SAP HANA as sources and data extraction from SAP sources to EDW/Azure.
~ Hands on experience of working with Azure cloud components like Azure Data Factory, Azure Stream Analytics, EventHub, Azure Synapse (SQL Data Warehouse), Azure Data Lake Storage (ADLS) and DataBricks.
~ Experience with relational databases, such as SAP HANA, Oracle, SQL Server, or MySQL, and non-relational databases, such as MongoDB or Cassandra.
~ Proficiency in SQL, python, and data analysis tools.
~ Experience working with Experience with AI/ML solutions will be preferred.
~ Experience with data archival and data retention across the organization.
~ Experience with data governance and regulatory compliance.
~ Strong leadership and communication skills, with the ability to collaborate with cross-functional teams and provide technical guidance to the data architecture team.
~ Experience with change management with respect to people, processes, and technologies.
~ Excellent communication, presentation, and interpersonal skills
~ Experienced in working in a customer facing role.

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