Data Architect
3 weeks ago
Job Summary:
The Data Architect will play a key role in planning, coordinating, and supervising all activities related to the integration of software programs, applications, and third-party solutions to meet business requirements. This includes conducting workshops with customers, business, and IT teams to capture, document, and summarize business requirements, prioritize business use cases, and define implementation roadmaps. The Data Architect will provide solutions for various data and analytics requirements from customers, such as Greenfield EDW, Data Lake Implementation, Data Estate Modernization, Tools/Technology comparison, and selection. They will create architecture and high-level design for data and analytics solutions, provide effort estimates for large EDW/Data Lake implementations, guide technical teams to deliverables, and get the solution implemented. The Data Architect will also conduct proof of concepts, create differentiating assets, conduct trainings, and workshops on new technologies and trends.
Key Responsibilities:
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 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 to identify and remediate 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.
Qualifications:
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 modeling, 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 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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