Assess and apply new solution designs against defined architecture strategies, principles, policies and standards in alignment with the enterprise architecture strategies. Defines new analytic architecture solutions where needs are identified. Where current enterprise strategies and principles do not meet needs, drive changes back to the enterprise. Defines complex application and solution designs for specific systems in coordination with project teams.
Defines component breakdown of the system; performs functional allocation to the components; establishes interfaces between systems and among system components.
Develops standards for the Data Science and Data Engineering functions and defines design patterns and configurations that can be reused as building blocks for other solutions.
Collaborates with project teams to understand requested capabilities and provides the right solutions.
Performs complex cost/benefit analysis when researching future state capabilities.
Leads and facilitates the creation of governing principles to manage change and guide solution decisions for the enterprise.
Audits the Analytic solution design to ensure compliance with architectural patterns and standards.
Monitors architecture solution performance and prevents performance issues when introducing new capabilities on the system.
Collaborates with Analytics stakeholders, including Functional Excellence, to apply Analytics strategy to architecture future state architecture and develops roadmaps to realize future state.
Maintain knowledge of emerging Data Engineering and Data Science technology and focused on driving comparative advantage for Analytics globally.
Cultivates strong relationships with industry experts; participates and may present at conferences and round tables.
Coaches and mentors less experienced Analytics Solution Architects.
Qualifications
Skills
Balances stakeholders – Anticipating and balancing the needs of multiple stakeholders.
Strategic mindset – Seeing ahead to future possibilities and translating them into breakthrough strategies.
Decision quality – Making good and timely decisions that keep the organization moving forward.
Persuades – Using compelling arguments to gain the support and commitment of others.
Communicates effectively – Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences.
Drives vision and purpose – Painting a compelling picture of the vision and strategy that motivates others to action.
Architecture System Design – Defines and develops architecture deliverables, artifacts and building blocks (e.g. conceptual models, logical models, physical network designs, etc.) by applying architecture principles through the use of an architecture development framework and methodology that enables the organization to transform its systems in a controlled manner in response to business needs.
System Solution Architecture – Creates solution designs and patterns using the Cummins Technical Reference Model (CTRM), CLEAN standards, and existing reference patterns to maintain alignment to Cummins standards.
Solution Design – Creates and defines the solution design complete with instrumentation and measurement, using industry standards and tools, version control, and build and test automation to synthesize diagrams, models and documentation in order to build a solution that meets buildability, business, technical, security, governance and compliance requirements.
Project Issue and Risk Management – Manages the process to identify, assess and prioritize issues and risks using recommended tools and processes to minimize, monitor, and control the probability and/or impact of negative events or to maximize the realization of positive events.
Change Management – Applies the Cummins structured process and tool set for engaging individuals and organizations through change to achieve and sustain business results and outcomes.
Strategic Roadmap Planning – Produces a high-level, multi-year product and capability roadmap utilizing internal and external business resource, asset and market knowledge and experience to communicate the organization’s focus and priorities to internal and external stakeholders.
Education, Licenses, Certifications
College, university or equivalent degree preferred or equivalent work experience in relevant technical discipline.
This position may require licensing for compliance with export controls or sanctions regulations.
Experience
Significant experience in a relevant discipline area is required with a demonstrated track record of architecture and design for cloud-based analytics platforms. Knowledge of the latest trends in data analytics is highly preferred and includes:
Analyzing complex business systems, industry requirements, and governance and creating solution designs from them
Proven Architecture and design experience for cloud-based analytics platforms
Experience developing analytics solutions involving data ingestion and data science
Significant experiences in the following are preferred:
Experience applying Big Data solutions
Experience with data science and data science tools
Experience with IoT technology
Experience in Agile software development
Responsibilities:
Understand our enterprise data and the associated processes.
Understand legacy implementation and chart data modelling approach for migration and modernization
Design data model for various functional areas of the data platform.
Collaborate with data engineers, solution architects other stakeholders on the data model, maintenance and optimization.
Work with Product Owner/Business Analysts to understand functional requirements and interact with other cross-functional teams to architect the data model.
Support Data Load and Data fixes
Create and maintain data dictionaries and associated lineage details for data model.
Perform Technical Mapping and Field Analysis.
Influence and review key design decisions to enable program implementation
Be a thought leader and a partner who bridges the gap between business and technology forging cross-functional relationships and working consultatively with business stakeholders, data engineering, reporting, data science, analytics and security teams.
Navigate challenges to solve complex business problems.
Skills:
Proficient in an Azure analytics environment encompassing RDBMS (SQL/Oracle), Big data storage and computing environments. Understanding of ADLS, Databricks, spark desirable.
Experience with data management in Cloud data warehousing tools, (Snowflake is preferred).
Knowledge of supply chain, finance and manufacturing domains will be beneficial for the role.
Proficient in Erwin or similar type data modeling software.
Significant experience in Data Quality practices and techniques
Experience SQL query language are desired. Spark knowledge will help.
Prior Experience:
Significant experience in data modelling and data architecture is required. 10-12 years of experience in BI and Analytics projects, data migration, data modelling (Using various strategies like data vault, 3NF, dimensional models etc), data architecture (Including but not limited to understanding of data flows, migration approaches, ETL code build process, metadata, performance and database management is expected)
Job SYSTEMS/INFORMATION TECHNOLOGY
Primary Location India-Maharashtra-Pune-India, Pune, IOC Tower A
Job Type Experienced – Exempt / Office
Recruitment Job Type Exempt – Experienced
Job Posting Sep 21, 2022, 1:39:13 AM
Unposting Date Nov 5, 2022, 1:29:00 PM
Organization Corporate
Req ID: 220007YI
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