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Together with our customers, we're on a mission to make healthcare better.
The Role
Leads the architecture, development, optimization, and governance of scalable batch and streaming data pipelines and cloud data platforms. Establishes engineering standards, automation, CI/CD, data quality, security, monitoring, and modeling practices. Mentors engineers, drives architectural decisions, manages technical debt and risks, and collaborates with architecture, analytics, platform, product, and business stakeholders to deliver reliable enterprise data products.
Summary Generated by Built In
Work Flexibility: Hybrid
The Lead Data Engineer leads the design, development, and optimization of complex, high-scale data pipelines and platform solutions across the Data and Analytics organization. This role provides technical leadership, mentors junior engineers, and partners with Data Architecture, Analytics, and Platform teams to define engineering standards, drive best practices, and deliver reliable, well-governed data solutions that support enterprise analytics and reporting needs.
What you will do:
- Lead the architecture and optimization of scalable ETL/ELT pipelines, data models, and cloud-based data platforms to power enterprise analytics.
- Drive engineering excellence through automation, orchestration, CI/CD, performance tuning, and adoption of best practices across the data landscape.
- Establish robust data quality, governance, security, and monitoring frameworks to ensure reliable and trusted data solutions.
- Mentor engineering teams and collaborate with business, product, and architecture stakeholders to deliver high-impact, scalable data products.
- Expert in designing scalable batch and streaming data architectures, delivering high-performance and cost-efficient data solutions.
- Advanced proficiency in SQL, Python, Scala, and distributed processing frameworks with deep expertise in cloud data platforms.
- Strong technical leader who mentors engineers, drives architectural decisions, and translates complex concepts for diverse stakeholders.
- Proven ability to manage multiple priorities, mitigate risks, reduce technical debt, and deliver strategic outcomes with minimal oversight.
What you will need :
- Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related discipline required with 6-8 years of experience in data engineering, data platform development, or related technical roles.
- Advanced expertise in SQL, Python/Scala/Java, and cloud-based data engineering, with a proven track record of building scalable, production-grade data pipelines and optimizing modern data platforms.
- Strong technical leader with deep knowledge of data architecture and modeling, recognized for mentoring teams, driving design excellence, and managing stakeholders to deliver high-impact business outcomes.
- Deep experience with cloud data platforms such as Snowflake, Databricks, AWS Redshift, or Azure Synapse.
- Advanced experience with orchestration tools such as Apache Airflow, Azure Data Factory, or dbt at enterprise scale, and streaming/event-driven architectures such as Kafka, Kinesis, or Event Hubs.
- Strong background in CI/CD, infrastructure-as-code, and containerization (Docker/Kubernetes) for data platforms.
- Advanced knowledge of data modeling techniques (dimensional modeling, star schema, data vault) and metadata/data governance practices, knowledge of Data Lake, Lakehouse and Unity Catalogue Concepts, use of Tool’s AI features to bring efficiency in Coding and bug fixing
- Advanced cloud platform certification (AWS, Azure, or GCP Data Engineer/Architect track) preferred./ Snowflake, Databricks, or equivalent advanced data platform certification preferred.
Skills Required
- Bachelor's degree in Computer Science, Information Systems, Engineering, or a related discipline
- 6-8 years of experience in data engineering, data platform development, or related technical roles
- Advanced expertise in SQL, Python, Scala or Java, and cloud-based data engineering
- Experience building scalable, production-grade data pipelines and optimizing modern data platforms
- Strong technical leadership, mentoring, data architecture, data modeling, design excellence, and stakeholder management experience
- Deep experience with cloud data platforms such as Snowflake, Databricks, AWS Redshift, or Azure Synapse
- Advanced experience with Apache Airflow, Azure Data Factory, or dbt at enterprise scale
- Experience with streaming and event-driven architectures such as Kafka, Kinesis, or Event Hubs
- Strong background in CI/CD, infrastructure as code, and containerization with Docker or Kubernetes
- Advanced knowledge of dimensional modeling, star schema, data vault, metadata, and data governance practices
- Knowledge of Data Lake, Lakehouse, and Unity Catalog concepts
- Experience using AI features in tools to improve coding and bug fixing
- Advanced AWS, Azure, or GCP Data Engineer/Architect certification
- Advanced Snowflake, Databricks, or equivalent data platform certification
Stryker Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Stryker and has not been reviewed or approved by Stryker.
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Healthcare Strength — Multiple medical plan options with HSA support and global mental‑health access indicate broad, accessible care. These features materially enhance the overall value of the total‑rewards package.
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Retirement Support — A meaningful 401(k) company match with potential additional company contribution, alongside an ESPP, supports long‑term savings and wealth building. Documented plan specifics help employees understand eligibility, timing, and vesting mechanics.
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Parental & Family Support — Paid parental and caregiver leave, adoption and surrogacy assistance, and practical supports like breast milk shipping reflect a comprehensive, family‑friendly approach. These offerings address varied family‑building paths and caregiving needs.
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The Company
What We Do
Stryker is a global leader in medical technologies and, together with its customers, is driven to make healthcare better. The company offers innovative products and services in MedSurg, Neurotechnology, Orthopaedics and Spine that help improve patient and healthcare outcomes. Alongside its customers around the world, Stryker impacts more than 130 million patients annually. More information is available at www.stryker.com. Together with our customers, we are driven to make healthcare better.
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