POSITION SUMMARY

Hybrid (3 days per week)

The Data Architects 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.

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 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 organizations 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 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.