Architect - Data Analytics & Insights

7 days ago

Pune Maharashtra, India Rockwell Automation Full time

Rockwell Automation is a global technology leader focused on helping the world’s manufacturers be more productive, sustainable, and agile. With more than 28,000 employees who make the world better every day, we know we have something special. Behind our customers - amazing companies that help feed the world, provide life-saving medicine on a global scale, and focus on clean water and green mobility - our people are energized problem solvers that take pride in how the work we do changes the world for the better.

We welcome all makers, forward thinkers, and problem solvers who are looking for a place to do their best work. And if that’s you we would love to have you join us

Job Description

Role Name:
Architect - Data Analytics & Insights

Reports to (role):
Manager, DA&I

Key Stakeholder Relationships:

- DA&I Technical Lead
- DA&I Analyst
- DA&I Data Engineer
- DA&I Analytics Engineer
- Product Owners
- Capability Teams
- DA&I and Enterprise Architects

Role Purpose:
This role is responsible for working with the DA&I Platform Team and Data Governance Team to ensure all data products are in compliance with standards.

The Data Architect is a multi-skilled technologist with full stack experience, capable of guiding a team to meet the organizations data needs.

Company Background

Rockwell Automation, a $7B industrial with 23,000 employees in 100 countries is at the forefront of the IoT revolution and is transforming its IT organization to digitize our customer experiences. We need full stack engineering professionals with a passion for technology to drive innovative solutions.

Key Responsibilities:

- Create high-level design outlining product feature, functionality, and technical requirements
- Define the technical architecture of the product incorporating different components, subsystems, interfaces, technology stacks, frameworks, and tools
- Responsible for solutioning foundational/ “big rock” capabilities that will be leveraged by development pods to create point solutions
- Ensure technical solution aligns with the business goals and objectives of the product organization
- Manage technical risks that could impact product development and delivery; develop contingency plans to mitigate these risks and ensure on time and within budget delivery
- Guide and provide technical expertise to development teams on technology strategy related to coding practices, continuous integration and automated deployment
- Reviews data dictionary to improve documentation and coordination
- Provide direction on data validation rules, data cleansing processes to ensure data is reliable and consistent
- Provide direction on security best practices throughout project cycle including secure coding practices and code reviews
- Assist in building of platform architecture information blueprints and data models that illustrate how information is stored, processed, and accessed across the enterprise
- Lead data architecture, data sourcing, data flow, and solution discussions for data initiatives
- Participate in platform information architecture discussions around needs and alignment to enterprise goals
- Collaborate on data-related business requirements and perform data architecture reviews
- Work to improve the release preparation process in coordination with scrum team
- Ultimately responsible for the quality of products deployed to production
- Pre Release: Coordinate the release schedule and resources required (coverage plan)
- Pre Release: represent capability changes in CAB meetings
- Review and approve solution design templates
- Example deliverables: Create & maintain architecture diagrams & data models (current and future state), create solution data flow diagram, create solution data model, evolve & maintain technology stack

Skills, Knowledge, Experience and Education
- Bachelor’s Degree in computer science, software engineering, management information systems, or related field
- Experience with large scale enterprise-wide data and analytics environments
- Experience in Architectural Design Technique
- Experience with the following or equivalent: Azure Data Factory, Azure Databricks, Azure DevOps, ADLS Gen2, SQL, Tabular models, Event Hub, Azure Functions
- Familiarity with business concepts and impact of data on business processes
- Experience managing multiple projects simultaneously
- Excellent interpersonal, verbal, and written communication skills
- Ability to adapt quickly to new technologies and changing business requirements
- Solid problem-solving skills, attention to detail, and critical thinking abilities

Temperament
- Ability to adapt to and assist colleagues to work through change and support change management processes
- Strong team orientation and ability to collaborate with the business and IT organizations
- Ability to retain and convey a positive attitude in challenging circumstances
- Act courageously by sharing viewpoints openly and directly with others, providing relevant and timely in

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