Data Architect

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Apache Hadoop, Scala Programming, Machine learning techniques, Data science techniques, PyTorch, TensorFlow, MapReduce, R Programming

Job Description

At Lilly, we serve an extraordinary purpose. We make a difference for people around the globe by discovering, developing and delivering medicines that help them live longer, healthier, more active lives. Not only do we deliver breakthrough medications, but you also can count on us to develop creative solutions to support communities through philanthropy and volunteerism.

Position Brand Description :

• Manufacturing and Quality Information and Digital Services (MQ IDS) supports manufacturing operational excellence and productivity efforts through utilization of information and technology.
• MQ IDS strives to enable the making of medicine “with safety first and quality always”. 
• In the pharmaceutical manufacturing industry, a convergence of information technology (IT) and operations technology (OT) is occurring.
• The emergence of technologies related to “Industry 4.0” is transforming our operations. 
• Significant investment and usage of data and analytics in the making of medicine is occurring where capabilities from simple visualizations to predictive and prescriptive analytics and machine learning are rapidly emerging across the global manufacturing landscape.
• The MQ IDS organization is engaged in an exciting phase of transformation as we drive our Digital Plant vision across Lilly manufacturing.

Responsibilities:

• The Global DIA Data Architect position serves as principal subject matter expert (SME) and custodian of the data asset, the data within that asset, security, tools, and integrated services.
• This position is accountable for design, validation, stabilization continuous improvement and overall data quality that enables continued growth of the portfolio of data solutions and services that power the business.
• This position reports to the Global MQ Data Integration and Analytics (DIA) Associate Director.

Basic Qualifications/Requirements:

• Bachelor’s degree or higher in Computer Science, Management of Information Systems, Data Science, or Engineering
• Knowledge of GxP, Supply Chain, Pharmaceutical manufacturing processes and automation systems
• Minimum 5 years of relevant experience with data architecture design
• Experience in Computer System Validation (CSV) processes and Data Integrity (DI) concepts
• 5 years of industry, domain, and technical experience

Additional Skills/Preferences:

• Experience with Agile Methodology
• ITIL certification
• Knowledge of best practices for code review and management in GitHub
• Experience in design and development of data lakes, data warehouses, data marts and schema design
• Building and maintaining complex data pipelines
• Expertise in performing data extraction, profiling, cleansing, conversion, transformation and loading of data
• Excellent communication, interpersonal, and influencing skills. 
• Ability to carry on conversations with business customers, upper management, and technical personnel. 
• Experience working in a multicultural, international team environment where team members are spread into different countries
• Ability to thrive in a complex, changing, virtual environment with multiple competing priorities
• Strong problem solving and organizational skills
• 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
• Demonstrated understanding of data privacy and CCI requirements and experience delivering within those requirements. 
• Excellent self-management skills. 
• Knowledge of data science technologies like R, Keras or TensorFlow
• Knowledge of ML/AI and natural language processing
• Experience implementing and leading data governance
• Experience working in a regulated environment
• Manufacturing Operations experience preferred
• Pharma Manufacturing experience strongly desired.
• Multi-Site, Global IT Project Experiences strongly desired

Technical Experience:

• Knowledge of CI/CD, Infrastructure as Code and more generally Everything as Code
• Experience with DBMS software and tools (PostgreSQL, Oracle, Snowflake, Teradata, MS SQL Server, MongoDB, Toad, Hadoop, CouchDB, etc.)
• Expertise in data management (structured/unstructured), data mining and reporting technologies
• Extensive experience with data modeling using Erwin, PowerDesigner, Toad or similar software
• Experience working with Amazon AWS, Microsoft Azure, Spark framework
• Experience with a multitude of AWS services; especially Glue, DMS, CloudFormation, IAM, Route53, ALB/ELB, VPC, EC2, Lambda, S3, KMS, CloudTrail, Config, CloudWatch
• Experience with Azure services; especially Azure Data Factory, Azure Resource Manager, Azure Synapse, Azure Functions, Azure Data Lake Analytics, Azure Data Lake Storage, Azure Monitor
• Experience with SQL, PL/SQL, Python, Spark Framework, YAML, JSON, Chef
• Experience with Docker, NodeJS, Ansible, Docker, Jenkins, Unix, Linux
• Strong understanding of cybersecurity operation principles
• Knowledge of industry standard NIST framework

Additional Information

• Travel outside the US may be required (Approx. 10% – 20%)

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 ( Lilly_Recruiting_Compliance@lists.lilly.com ) 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 is an EEO/Affirmative Action Employer and 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.

As a condition of employment with Eli Lilly and Company and its subsidiaries in the United States and Puerto Rico, you must be fully COVID-19 vaccinated and provide proof of vaccination satisfactory to the company (subject to applicable law).