Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 113,000 colleagues serve people in more than 160 countries.

Cloud Data Architect                                             St Paul  (Little Canada) Tech Center or Austin, TX

The Cloud Data Architect is a critical technical leader and contributor to building compelling products within Abbott’s Electrophysiology (EP) Division. In this role, you will define and build company-wide frameworks and libraries for our medical devices that will enable faster and more informed decision making to enhance customer experience and outcomes.

Primary Duties and Responsibilities
 

• Define and build company-wide frameworks and libraries that will enable faster, better and more informed decision-making for our business and help create customer value out of data & analytics.

• Share the responsibility to achieve targeted business impact with the help of data and modern data technologies in collaboration with business owners, subject matter experts, and data scientists.

• Work with key stakeholders within the company to help model our data landscape, obtain data extracts, and define secure data exchange approaches

• Plan and deliver secure, good practice data integration strategies and approaches

• Acquire, ingest, and process data from multiple sources and systems into Big Data platforms

• Create and manage data environments in the Cloud

• Collaborate with our data scientists to map data fields to hypotheses and curate, wrangle, and prepare data for use in their advanced analytical models

• Utilize strong understanding of Information Security principles to ensure compliant handling and management of client data

Required Education and Qualifications

• Bachelor’s Degree Computer Science, Software or Computer Engineering, or related scientific field of study

• 8+ years of experience in designing and delivering service-based cloud platforms or sophisticated enterprise level systems

• Must have experience in various data model patterns used in different data architectures.

• Must have experience in producing various architecture artifacts and presenting it to various stakeholders and review boards.

• Proven ability to work across structured, semi-structured, and unstructured data, extracting information and identifying linkages across disparate data sets

• Strong experience in multiple database technologies such as: Distributed Processing (Spark, Hadoop, EMR) Traditional RDBMS (MS SQL Server, Oracle, MySQL, PostgreSQL) MPP (Azure Synapse, Azure Data Factory)

• Data modeling principles including conceptual, logical and physical data modeling, dimensional modelling techniques

• Should have experience in data warehouse architectures (e.g. Azure Synapse DB and Enterprise BI)

• Practical experience in data mining and analysis tools with intermediate to advanced query skills (ex. MS SQL, Synapse Analytics, Data Explorer, Cosmos).

• Ability to learn quickly and identify opportunities for improvement.

• Experience with understanding technical design specifications that are consumed by development/engineering teams as a guide for implementation.

Preferred
 

• Master’s Degree Computer Science, Software or Computer Engineering, or related scientific field of study

• Experience in one or more ETL workloads using Azure Data Factory, HDFS and Spark

• Experience in one or more MPP data platforms like Azure SQL, Managed SQL, Azure Data Lake

• Experience working in a regulated industry such as automotive, aerospace, healthcare, or defense

• Ability to facilitate communication between technical and business stakeholders to ensure functional requirements and technical implementation considerations are understood and accepted.

• Strong understanding of Information Security principles to ensure compliant handling and management of data

• Result-driven, be an analytical and creative thinker

• Ability to work with cross-functional teams and bring business and data science closer together - consultancy experience a plus

• GPA > 3.0

WHAT WE OFFER  

At Abbott, you can have a good job that can grow into a great career. We offer: 

• Training and career development, with onboarding programs for new employees and tuition assistance  

• Student Loan Repayment Assistance

• Financial security through competitive compensation, incentives and retirement plans  

• Health care and well-being programs including medical, dental, vision, wellness and occupational health programs 

• Paid time off  

• 401(k) retirement savings with a generous company match 

• The stability of a company with a record of strong financial performance and history of being actively involved in local communities 

Learn more about our benefits that add real value to your life to help you live fully:  www.abbottbenefits.com  

Follow your career aspirations to Abbott for diverse opportunities with a company that provides the growth and strength to build your future. Abbott is an Equal Opportunity Employer, committed to employee diversity. 

Connect with us at www.abbott.com, on Facebook at www.facebook.com/Abbott and on Twitter @AbbottNews and @AbbottGlobal.