Abbott · 10 hours ago
Principal Data Architect
Abbott is a global healthcare leader that helps people live more fully at all stages of life. The Principal Data Architect will develop, construct, test, and maintain data architectures, focusing on infrastructure and data flow management, while leading data engineering teams and ensuring data quality and reliability.
BiotechnologyEmergency MedicineGeneticsHealth CareHealth DiagnosticsManufacturingMedicalMedical DeviceNutritionPharmaceutical
Responsibilities
Define overarching data strategy and architecture for large-scale data systems that support current and future business needs
Provide expert technical leadership to data engineering teams and stakeholders, promoting a culture of innovation and technical excellence
Partner with stakeholders to understand business requirements and translate them into actionable technical objectives
Collaborate with IT and business leadership to ensure data initiatives align with organizational goals and priorities
Lead cross-functional teams in developing and implementing data governance frameworks that ensure data integrity, security, and compliance
Stay current with industry trends and emerging technologies, advising on their potential adoption to enhance data capabilities
Conceptualize, design, and lead high-value, data-driven projects that address strategic business needs
Present complex technical findings in clear, concise language for senior leadership and non-technical audiences
Scope, plan, resource, and manage data and software projects of varying complexity to successful completion
Responsible for effectively communicating to senior management on data strategy and project progress
Proactively identify and drive operational, process, and system-level improvements using data to increase efficiency and effectiveness
Evaluate issues from multiple perspectives, rigorously validating information and questioning assumptions to support sound decision-making
Play a key role in talent development by mentoring team members and contributing to the hiring and evaluation of new data engineers
Serve as an influential leader in data engineering, helping shape the strategic direction of the organization’s data function
Lead highly complex initiatives across departments and technical domains
Foster a collaborative, results-driven environment across cross-functional teams
Mentor less-experienced team members and contribute significantly to developing team capabilities
Lead the design and implementation of departmental and site-level processes and procedures
Build and maintain strong partnerships with other departments and functional teams
Provide strategic guidance to senior executives and contribute to long-term organizational planning
Lead and execute multiple complex projects simultaneously from planning through delivery
Work with stakeholders to define business questions, requirements, timelines, objectives, and success criteria, while challenging low-value ideas to optimize outcomes
Apply advanced statistical and machine learning techniques such as regression, clustering, decision trees, time-series forecasting, simulation, optimization, scenario analysis, exploratory data analysis, unstructured data analysis, and neural networks
Track emerging analytics trends, best practices, and technologies; research and propose new tools, methods, and processes
Maintain deep knowledge of both commercial and open-source analytics platforms, understanding their advantages, constraints, and appropriate applications
Leverage strong knowledge of organizational data assets to guide strategic and highly technical initiatives
Demonstrate expertise in big data ecosystems, cloud storage, distributed systems, and related software tools
Utilize advanced programming skills to design scalable, high-performance data systems
Apply subject matter expertise to efficiently select and evaluate data required for problem-solving
Contribute significantly to the department’s human resource development and long-term technical strategy
Define data architecture strategy, set technical standards, and help shape enterprise-wide data practices
Qualification
Required
Bachelor's Degree required in Engineering, Data Analytics, Data Science, Computer Science, Information Technology or closely related field
Minimum of 8 years of relevant work experience
Deep expertise in data modeling, optimization, cloud technologies, unstructured data analysis, and/or neural networks
Advanced programming experience in SQL, R, Python, Java, Scala, C++, and Linux/Unix scripting
Strong business acumen and experience with operational or strategic systems
Strong understanding of data governance and data security principles
Preferred
Advanced Degree a plus
Experience or training in Databricks and Microsoft Azure is a plus
Experience with large-scale data systems such as Hadoop, Spark, MongoDB, or similar platforms
Experience or education in life sciences or healthcare is preferred
Benefits
Free medical coverage in our Health Investment Plan (HIP) PPO medical plan
An excellent retirement savings plan with a high employer contribution
Tuition reimbursement
The Freedom 2 Save student debt program
FreeU education benefit - an affordable and convenient path to getting a bachelor’s degree
Company
Abbott
Abbott is a healthcare company that produces diagnostic kits, medical devices, nutritional products, and branded generic medicines.
H1B Sponsorship
Abbott has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2021 (1)
Funding
Current Stage
Public CompanyTotal Funding
$6.79M2011-03-15Post Ipo Debt· $0.1M
2009-03-16Post Ipo Debt· $6.69M
1980-12-12IPO
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