Senior Staff Engineer, Data Architecture

Stryker·
Gurugram, India
5d ago
Full-timeSeniorMasters

Description

Work Flexibility: Hybrid<p style="text-align:inherit"></p><p style="text-align:inherit"></p><p><b>Senior Staff Engineer - Data Architecture</b></p><div><p><span><span>This role<span> </span></span><span>is responsible for</span><span><span> </span>setting the vision for, designing, and leading the end-to-end delivery of the Stryker Endoscopy, Instrument</span></span><u><span><span>s</span></span></u><span><span>, and Joint Replacement Division Operations data management framework and data architecture. In addition to defining and<span> </span></span><span>maintaining</span><span><span> </span>data frameworks, models, and policies to ensure data is accessible, secure, and reliable, this role will:</span></span><span> </span></p></div><div><ul><li><p><b><span>Partner with local business analytics teams and data engineers</span></b><span><span><span> </span>to gather and build requirements aligned with business needs.</span></span><span> </span></p></li></ul></div><div><ul><li><p><b><span>Drive testing and validation processes</span></b><span><span><span> </span>to ensure accuracy and quality throughout implementation.</span></span><span> </span></p></li></ul></div><div><ul><li><p><b><span>Oversee and support the ongoing conversion</span></b><span><span><span> </span>to a new data model and platform, ensuring seamless integration and adoption.</span></span><span> </span></p></li></ul></div><div><ul><li><p><b><span>Collaborate across functions</span></b><span><span><span> </span>to deliver solutions that enable actionable insights and operational excellence.</span></span><span> </span></p></li></ul></div><p><br /><br /><b>What you will do:</b></p><div><ul><li><p><b><span>Data<span> </span></span><span>architecture design</span><span>:</span><span> <span> </span></span></b><span><span>visualize and</span></span><b><span><span> </span></span></b><span><span>design</span><span><span> </span>the<span> </span></span><span>optimal</span><span><span> </span>data management framework to include ingestion of</span><span><span> </span>data from various<span> </span></span><span>internal<span> </span></span><span>sources</span><span><span> </span>(multiple ERP systems and business systems)<span> </span></span><span>in various master data structure</span><span>s</span><span><span> </span>into a</span><span>n integrated</span><span><span> </span>data lake</span><span>,<span> </span></span><span>accessible by Stryker-standard<span> </span></span><span>business<span> </span></span><span>analysis tools  </span></span><span> </span></p></li></ul></div><div><ul><li><p><b><span>Data<span> </span></span><span>governance</span><span>:</span><span> <span> </span></span></b><span><span>e</span><span>stablish</span><span><span> </span>data quality standards, data retention policies, and access controls to<span> </span></span><span>maintain</span><span><span> </span>data accuracy and security</span></span><span> </span></p></li></ul></div><div><ul><li><p><b><span>Database</span><span><span> </span></span><span>management</span><span>:</span><span> <span> </span></span></b><span><span>s</span><span>elect<span> </span></span><span>appropriate database</span><span><span> </span>technologies,<span> </span></span><span>optimize</span><span><span> </span>database performance, and ensure data<span> </span></span><span>cleanliness/</span><span>integrity</span></span><span> </span></p></li></ul></div><div><ul><li><p><b><span>Data security</span><span>: <span> </span></span></b><span><span>i</span><span>mplement data security measures to protect sensitive information</span><span><span> </span>and<span> </span></span><span>maintain</span><span><span> </span>access approval process</span></span><span> </span></p></li></ul></div><div><ul><li><p><b><span>Collaboration with stakeholders:</span><span> <span> </span></span></b><span><span>w</span><span>ork closely with<span> </span></span><span>data engineers,<span> </span></span><span>business<span> </span></span><span>analysts</span><span>,</span><span><span> </span></span><span>and<span> </span></span><span>divisional planning</span><span><span> </span>teams to understand data needs and deliver tailored solutions</span></span><span> </span></p></li></ul></div><div><ul><li><p><b><span>Performance optimization</span></b><span><span>: </span></span><span><span>Monitor data performance,<span> </span></span><span>identify</span><span><span> </span>bottlenecks, and implement improvements to data processing and retrieval.</span></span><span> </span></p></li></ul></div><div><ul><li><p><b><span>IT integration:</span></b><span><span>  coordinate with IT to ensure that the necessary infrastructure is rolled out and<span> </span></span><span>maintained</span><span>, and that current technology supports the divisions’ goals</span></span><span> </span></p></li></ul></div><p><br /><br /><br /><b>What you will need:<span> </span></b></p><p><b><span>Required Skills:</span></b></p><ul><li><p>Bachelors Degree in Computer Science or similar technical discipline</p></li><li><p>8 to 12 years of<span><span> </span><span>experience </span><span>in </span><span>data </span><span>architecture</span><span>, </span><span>data </span><span>engineerin</span></span><u><span><span>g </span></span></u><span><span>or related field</span></span><span><span><span><span> </span></span></span></span></p></li><li><p>Deep competencies in designing and implementing data models (relational, dimensional, NoSQL), and database systems, and data warehouse systems. Functional proficiency in Python and SQL, and standard business intelligence tools.  Strong analytical approach to problem solving, communication skills, and relationship management.  Flexible and agile mindset and design approach with focus on scalability.</p></li><li><p></p><p>High proficiency in Databricks, Python, SQL, and Data Lineage tools (Purview)</p></li><li><p><i>Proven experience in migration and modernization initiatives, such as BW or legacy data warehouse → Databricks and designing scalable Bronze–Silver–Gold layers and shared data standards for a common analytics platform. Have exposure to operations and supply chain data domains (orders, inventory, supply, logistics, manufacturing, etc.) and act as a technical thought partner aligning platform design with business needs</i></p></li><li><p>Collaborate across <b>multiple teams and stakeholders</b> (engineering, IT, business) to converge on <b>common data solutions</b>, then translate those agreements into <b>clear, scalable platform designs</b></p></li></ul><p></p><p><b>Preferred Skills:</b></p><ul><li><p>SAP system knowledge</p></li><li><p>Experience in Azure Data Factory and Azure SQL</p></li></ul><p style="text-align:inherit"></p><p style="text-align:inherit"></p>Travel Percentage: 10%<p style="text-align:inherit"></p><p style="text-align:inherit"></p><p style="text-align:inherit"></p><p style="text-align:inherit"></p><p></p><p></p><p></p><p></p>
Stryker

Stryker

MEDICAL DEVICES

Medical Devices

LocationCA - San Jose
Open Jobs1487
View Company Profile