Company:Qualcomm India Private Limited

Job Area:Information Technology Group, Information Technology Group > IT Data Engineer

General Summary:

Enterprise Data Architect or Data Modelling Lead will play a critical role in shaping the future of our data capabilities as part of strategic and critical Enterprise Data Transformation (EDT) program. We're seeking a visionary, hands-on leader to drive the build out of a modern enterprise-wide lake house with scalable, reliable and business intuitive data architecture for supporting self-service capabilities across Data & Analytics solutions. This role will be an individual contributor and partnering closely with cross-functional teams in building enterprise data model which can support Analytics, GenBI, AI/ML and Data Sandboxing solutions.

Key Responsibilities:
• Vision and Strategy: Define and lead the vision, strategy, roadmap for data platform (data lakes, warehouses, governance, data quality, onservability etc.), aligning with business objectives and technological advancements to enable data platforms as the strategic enabler for AI
• Relentless Execution of Enterprise Data Model Development: Rapid delivery of design and development of data model (functional, logical, physical) in advanced cloud based solutions such as AWS based Databricks platform ensuring seamless data integration, quality, compliance and security.
• Data Engineering: Map out the existing legacy Data warehouses in developing an enterprise level data model that can fit in medallion architecture lakehouse platform for supporting current and future GenAI analytics needs. 
• Self Service enablement: Partner with business stakeholders and internal data solutions team to empower business for self-service.
• Cross-Functional Collaboration: Collaborate with IT and Business with a product mindset to ensure data models meet business needs and to drive innovation. Also collaborate with teams across the globe to ensure high quality and timely delivery.
• Challenge Status Quo: Encourage innovation and continuous improvement by challenging existing processes & solutions and proposing new scalable & creative solutions.

'  - 14+ years of IT-related work experience in Data and Analytics domain with a Bachelor's degree.
- 7+ years of enterprise data modelling experience.
- 3+ years of work experience in a role requiring interaction with senior leadership, leading modernization of Data platforms.
- Strong functional knowledge across Sales, Marketing, Customer Support, Supply Chain, Finance and other corporate functions
- Deep hands-on technical understanding in building complex data models for supporting various analytics needs
- Comfortable in working wiht cross-functional teams such as Data Engineering, Analytics, SMEs and Business stakeholders
- Passion to understand complex existing footprint of data solutions and build out the strategy for migrating to Databricks medallion architecture
- Accountability and Ownership of the delivery in driving the projects to completion

Minimum Qualifications:

• 7+ years of IT-related work experience with a Bachelor's degree in Computer Engineering, Computer Science, Information Systems or a related field.
OR
9+ years of IT-related work experience without a Bachelor’s degree.

• 5+ years of work experience with programming (e.g., Java, Python).
• 3+ years of work experience with SQL or NoSQL Databases.
• 3+ years of work experience with Data Structures and algorithms.

'Bachelor's or Master's degree in Computer Science, Data Science, Information Technology, or a related field.
• 12+ years of experience in data management, data engineering, or data science roles, with at least 7 years in building enterprise level data models as part of data modernization and DW migration efforts.
• Strong understanding and hands-on experience with lakehouse medallion data architecture and govenance
• Proven implementation experience with migrating legacy DW data models to 3-layer medallion architecture.
• Strong passion in exploring GenAI based solutions for documenting the existing DW footprint and build out strategic data model for Databricks platform
• Experience with machine learning, artificial intelligence, and predictive analytics is a plus.
• Excellent leadership, communication, and collaboration skills in a global hybrid delivery model
• Strong problem-solving skills with strategic thought process and self-initiative and proctive soft skills

Applicants: Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).

Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.

To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.

If you would like more information about this role, please contact Qualcomm Careers.