Sr Manager, Data Engineering, SMAI at Micron Technology

Hyderabad, Telangana, India -

Full Time

Start Date

Immediate

Expiry Date

28 Apr, 26

Salary

0.0

Posted On

28 Jan, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Cloud & Data Platforms, Programming & Cloud Data Engineering, Databases & Tools, BI & Visualization, Engineering & Delivery, Data Quality, AI, Analytics, Team Leadership, Talent Development, Operational Readiness, Supportability, Incident Reduction, Performance Tuning, Pipeline Optimization, Automated Testing, Validation Frameworks

Industry

Semiconductor Manufacturing

Description

Our vision is to transform how the world uses information to enrich life for all. Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. What You’ll Do Data Engineering & Platform Delivery Lead execution of the Data Engineering roadmap, including application modernization, warehouse model coalescence, and platform rationalization. Drive engineering acceleration through AI‑enabled automation, performance tuning, and scalable pipeline design. Ensure the data platform meets enterprise standards for reliability, scalability, and performance. Advanced Analytics, AI and Generative AI Oversee and Build AI/GenAI‑driven analytics capabilities that enhance HR and Finance decision‑making. Define KPIs, analytics/AI roadmaps, and data‑product requirements in partnership with Finance, HR, BU and Strategy teams. Cross‑Functional Execution & Governance Manage a multi‑stream delivery portfolio with predictable, high‑quality releases. Partner with Product, Architecture, Finance, HR and BU leaders to maintain prioritization, risk transparency, and dependency alignment. Champion adoption of delivered data products and ensure measurable business value. Data Quality, Standards & SDLC Excellence Establish and enforce data engineering standards including data quality SLAs, modeling patterns, Coalesce and best UI practices, and automated validation frameworks. Drive consistent, auditable, low‑defect releases across the data ecosystem. Team Leadership & Talent Development Lead and develop global data engineering and analytics teams across multiple levels. Recruit, mentor, and grow analysts, engineers, and contractors into high‑performing contributors. Foster a culture of technical excellence, collaboration, and continuous improvement. Operational Readiness & Supportability Guide the transition to steady‑state operations with mature runbooks, incident‑reduction initiatives, and scalable support processes. Ensure the platform is resilient, supportable, and optimized for cost and performance. What You Bring Technical Skills Cloud & Data Platforms: Snowflake, Snowflake AI, GCP Suite Programming & Cloud Data Engineering: Python, SQL, data modeling, pipeline optimization Databases & Tools: SQL Server, SQL Server Management Studio BI & Visualization: Power BI Engineering & Delivery: JIRA, Coalesce/Omelek, Angular, automated testing/validation frameworks Experience & Leadership 10+ years leading global Advanced Business Analytics and/or Cloud Data Engineering teams. Strong experience and understanding with Finance and HR data relationships and domain knowledge Proven success delivering multi‑stream, cross‑functional data engineering programs. Experience with AI‑driven engineering acceleration and modern data‑stack standardization. Strong track record improving data quality, release predictability, and platform performance. Ability to mentor technical talent and influence architectural direction. Excellent stakeholder engagement and cross‑functional communication skills. Why Join Us You’ll play a pivotal role in shaping our next‑generation data platform, leading a global team, and delivering the insights and capabilities that power HR, Finance, BU decision‑making. This is a high‑visibility role with significant opportunity for impact, innovation, and career growth. About Micron Technology, Inc. We are an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich life for all. With a relentless focus on our customers, technology leadership, and manufacturing and operational excellence, Micron delivers a rich portfolio of high-performance DRAM, NAND, and NOR memory and storage products through our Micron® and Crucial® brands. Every day, the innovations that our people create fuel the data economy, enabling advances in artificial intelligence and 5G applications that unleash opportunities — from the data center to the intelligent edge and across the client and mobile user experience. To learn more, please visit micron.com/careers All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. To request assistance with the application process and/or for reasonable accommodations, please contact hrsupport_india@micron.com Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards. Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron. AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification. Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.

Responsibilities

Lead execution of the Data Engineering roadmap and oversee AI-driven analytics capabilities. Manage a multi-stream delivery portfolio and ensure the data platform meets enterprise standards.