Eli Lilly Looking for MQ IDS FUME & GHSE Solution / Data Architect at Bengaluru, Karnataka Full Time

At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our 35,000 employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We’re looking for people who are determined to make life better for people around the world.

The Global Engineering & HSE IT organization delivers and maintains applications that support our Facilities, Utilities, Maintenance, Engineering, Health & Safety and Environmental Business Partners. The team works in partnership with the Site Engineering & HSE representatives through the Global Engineering & HSE teams to define business need and provide solutions.

This role is a key support of our Engineering transformation initiatives which focuses on improving engineering results through better access to and use of information.

The MQ IDS FUME & GHSE Solution/Data Architect will help enable business effectiveness by identifying opportunities in or across business areas for leveraging the different platforms, technologies, processes, and information. The MQ IDS FUME & GHSE Solution/Data Architect focuses on strategic work that is future-oriented and impacts both mid-term and long-term technology & data architecture. MQ IDS FUME & GHSE Solution/Data Architect working closely with engineering program teams, provides leadership, strategic input, and oversight to the foundational technology & data integration support from end-user perspective.

The MQ IDS FUME & GHSE Solution/Data Architect provides technical, services, and support for the platform supporting these crucial business processes. This role has the opportunity to have daily impact by surfacing ideas to improve as well as ensuring foundational systems are robust, stable, and sustainable.

This position has dual reporting to LCCI Team Leader and Manager – Global Engineering.

Key Objectives/Deliverables

Deep technical understanding of various data architectures and solution options along with an understanding of business requirements.

Deep understanding of cloud technologies and strategies including knowledge on cloud infrastructure (Azure/ AWS)

Ability to create roadmaps through working with multiple stakeholders – Global Technology Teams and Business

Translating requirements into technical design and architecture, aligned with enterprise and industry standards and best practices, along with the corresponding required documentation.

Well-versed in both the evolving technology landscape as well as the needs of the business areas they support.

Has a deep understanding of data sources, flows, integration, acquisition, structures, quality, harmonization, and governance.

Translate business requirements into consumable data models and source to target data mapping.

Consult with internal customers who own the data to develop information relationships that lead to actionable insights.

Work with data from multiple data sources to build integrated views that will drive decisions.

Work in Agile Sprints with business facing project teams.

.

Additional Responsibilities

Collaborates with architects on technical design issues, particularly for solutions that impact local and global business areas

Work with Global Engineering Business Partners and Sites to understand business problems and set IT direction & roadmap for solutions to meet business needs

Work with central and site engineering business partners and define processes for capture and maintaining engineering data, such as equipment metadata, supporting to the goal of creating an equipment digital twin for key process equipment sets and integration of this metadata with various sources of data.

Perform data issue analysis and work with various M&Q teams to improve data quality confidence.

Serve as the technical liaison between the Bigdata Engineering admins, Data Scientists, Data Engineers and Product Owners.

Validate data quality coverage and accuracy by developing reports and tools to monitor and visualize data quality

Support the effort in finding data quality gaps by working with business and across IT domains to identify process or data management changes.

Work with Data Integration Developers to build solutions.

Work closely with the Data Integration and Analytics team to ensure we are in sync with the NextGen data lake

Develop deep understanding of technologies that enable business processes within key areas.

Develop solid understanding of business processes and needs to support recommended technical direction.

Responsible for ensuring adherence to technology roadmaps driven by the Lilly Enterprise Architecture community.

Drives decisions with respect to technologies and use of those technologies.

Ensure interface and data needs are understood and that the necessary technology and architecture are in place to meet these needs.

Responsible for understanding, influencing, and evolving the supported application(s) technical design.

Understanding of current technology as well as future direction for the area and the enterprise.

Basic Requirements

Bachelor’s Degree and 5 years’ experience in the implementation of modern data ecosystems.

Expertise in Python, SQL, Hadoop, Hive, Spark, UNIX Shell scripting, and Informatica big data technologies.

Expertise with JSON, REST API, and other data integration technologies.

Experience in one or more cloud-based data solutions/ cloud infrastructure

Demonstrated understanding of data privacy and CCI requirements and experience delivering within those requirements.

Experience in applying quality and compliance requirements.

Excellent oral and written communication skills.

Fluency in English.

A high level of intellectual curiosity, external perspective, and innovation interest

Strong analytical, problem solving and investigative skills

Experience with security models and development on large data sets

Excellent self-management skills.

Education Requirements:
Bachelor’s Degree in Computer Science or relevant degree

Additional Information

Lilly is an EEO/Affirmative Action Employer, and does not discriminate on the basis of race, gender, protected veteran status, disability or any other legally protected status.

Eli Lilly and Company, Lilly USA, LLC and our wholly owned subsidiaries (collectively “Lilly”) are committed to help individuals with disabilities to participate in the workforce and ensure equal opportunity to compete for jobs. If you require an accommodation to submit a resume for positions at Lilly, please email Lilly Human Resources ( [email protected] ) for further assistance. Please note This email address is intended for use only to request an accommodation as part of the application process. Any other correspondence will not receive a response.

Lilly does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status.

#WeAreLilly