Principal Data Architect

JOB DESCRIPTION:

Working at Abbott
At Abbott you can do work that matters grow and learn care for yourself and your family be your true self and live a full life. Youll also have access to:

• Career development with an international company where you can grow the career you dream of.
• Employees can qualify for free medical coverage in our Health Investment Plan (HIP) PPO medical plan in the next calendar year.
• An excellent retirement savings plan with a high employer contribution.
• Tuition reimbursement the Freedom 2 Save student debt program and FreeU education benefit - an affordable and convenient path to getting a bachelors degree.
• A company recognized as a great place to work in dozens of countries worldwide and named one of the most admired companies in the world by Fortune.
• A company that is recognized as one of the best big companies to work for as well as the best place to work for diversity working mothers female executives and scientists.

The Opportunity

Were empowering smarter medical and economic decision-making to help transform the way people manage their health at all stages of life. Every day more than 10 million tests are run on Abbotts diagnostics instruments providing lab results for millions of people.

The Principal Data Architect will sit at our Irving TX location and is part of our Core Diagnostics group. They will develop construct test and maintain data architectures such as databases and large-scale processing systems where the focus is on infrastructure and data flow management. They are responsible for building & maintaining data pipelines (ETL processes; ensuring data quality & reliability; designing and managing data warehouses and databases; and integrating data from various sources.). They create the systems and structures that allow data to be collected stored & processed efficiently.

Core Job 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.

Supervisory / Management Responsibilities

• Serve as an influential leader in data engineering helping shape the strategic direction of the organizations 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.

Position Accountability / Scope

• 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 departments human resource development and long-term technical strategy.
• Define data architecture strategy set technical standards and help shape enterprise-wide data practices.

Education and Experience

• Bachelors Degree required in Engineering Data Analytics Data Science Computer Science Information Technology or closely related field.
• Advanced Degree a plus
• Minimum of 8 years of relevant work experience.
• Deep expertise in data modeling optimization cloud technologies unstructured data analysis and/or neural networks.
• 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.
• 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.
• Experience or education in life sciences or healthcare is preferred.

Learn more about our health and wellness benefits which provide the security to help you and your family live full lives: your career aspirations to Abbott for diverse opportunities with a company that can help you build your future and live your best life. Abbott is an Equal Opportunity Employer committed to employee diversity.

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The base pay for this position is

In specific locations the pay range may vary from the range posted.

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