Job DescriptionWe are seeking a
hands-on Senior Staff Engineer, Enterprise Data Platform to lead the design, implementation, and modernization of our enterprise-wide data platform-including data governance, lakehouse architecture, engineering pipelines, analytics, and AI-driven solutions. This role requires deep technical expertise, strategic vision, and executional leadership to build a scalable, governed, and intelligent data ecosystem across cloud and on-prem environments.
ESSENTIAL DUTIES AND RESPONSIBILITIES:
Architecture & Strategy- Define and continuously evolve the target data architecture across the stack-Data Governance, data engineering, data modeling and Databricks lakehouse in Azure and GCP
- Translate business and technical goals into scalable and resilient platform designs.
- Own and maintain architectural roadmaps, standards, and decision frameworks.
- Act as the bridge between architects, Business SME/Analysts, data engineers, and analytics teams to ensure alignment and compliance with platform standards.
Data Engineering & Platform Delivery- Build and maintain Databricks Lakehouse platforms using Delta Lake, Iceberg, or equivalent technologies.
- Design and implement modern ELT/ETL pipelines using tools like Spark, Python, SQL, Scala, and cloud-native components (e.g., Fivetran, Databricks, Snowflake, BigQuery).
- Manage data ingestion from heterogeneous sources including ERP, CRM, IoT, and third-party APIs.
- Guide hands-on development of robust, reusable, and automated data flows in Azure and GCP
Governance, Metadata, and Quality- Implement and enforce data governance frameworks including data lineage, metadata management, and access controls.
- Partner with Data Stewards and Governance Analysts to catalog data domains, define entities, and ensure SOX compliance.
- Drive adoption of tools like Atlan and Unity Catalog for metadata, quality, and stewardship.
- Develop data models (ERDs, dimensional and 3NF) and define canonical data representations.
- Define and maintain Data Products including end to end data flows, Data Lineage, Data Access and Data Catalog
Collaboration & Leadership- Review solution designs and provide architectural guidance to engineering teams.
- Mentor technical staff while fostering best practices and continuous improvement.
- Collaborate with DevOps to embed CI/CD, version control, and environment automation across the data lifecycle.
- Continuously assess and improve platform reliability, scalability, performance, and cost-efficiency
QualificationsREQUIRED:
- 9+ years of hands-on experience in data architecture, engineering, and analytics delivery.
- Proven success in building modern data platforms on cloud (AWS, Azure, GCP).
- Deep knowledge of data lakehouse architectures (e.g., Databricks, Fabric).
- Proficiency with Python, SQL, Spark, and orchestration frameworks.
- Experience with ETL/ELT tools (e.g., Informatica, Talend, Fivetran) and containerization (Docker, Kubernetes).
- Strong background in data modeling (ERD, star/snowflake, canonical models).
- Familiarity with REST APIs, GraphQL, and event-driven design.
- Demonstrated experience integrating AI/ML and GenAI components into data platforms.
PREFERRED:
- 15+ years of experience including solution architecture roles for large-scale data initiatives.
- Experience with BI/visualization tools like Power BI, Tableau, and Looker.
- Understanding of Master Data Management, data profiling, cleansing, and enrichment techniques.
- Exposure to DataOps and DevOps practices for CI/CD and platform automation.
- Strong analytical and problem-solving skills with the ability to communicate clearly to both technical and business audiences.
- Knowledge of high-tech business domains such as engineering, sales, finance, supply chain, or semiconductor operations is a strong plus.
- Knowledge of SAP and SAP-BDC a plus
Compensation & Benefits Details- An employee's pay position within the salary range may be based on several factors including but not limited to (1) relevant education; qualifications; certifications; and experience; (2) skills, ability, knowledge of the job; (3) performance, contribution and results; (4) geographic location; (5) shift; (6) internal and external equity; and (7) business and organizational needs.
- The salary range is what we believe to be the range of possible compensation for this role at the time of this posting. We may ultimately pay more or less than the posted range and this range is only applicable for jobs to be performed in California, Colorado, New York or remote jobs that can be performed in California, Colorado and New York. This range may be modified in the future.
- You will be eligible to participate in Sandisk's Short-Term Incentive (STI) Plan, which provides incentive awards based on Company and individual performance. Depending on your role and your performance, you may be eligible to participate in our annual Long-Term Incentive (LTI) program, which consists of restricted stock units (RSUs) or cash equivalents, pursuant to the terms of the LTI plan. Please note that not all roles are eligible to participate in the LTI program, and not all roles are eligible for equity under the LTI plan. RSU awards are also available to eligible new hires, subject to Sandisk's Standard Terms and Conditions for Restricted Stock Unit Awards.
- We offer a comprehensive package of benefits including paid vacation time; paid sick leave; medical/dental/vision insurance; life, accident and disability insurance; tax-advantaged flexible spending and health savings accounts; employee assistance program; other voluntary benefit programs such as supplemental life and AD&D, legal plan, pet insurance, critical illness, accident and hospital indemnity; tuition reimbursement; transit; the Applause Program, employee stock purchase plan, and the Sandisk's Savings 401(k) Plan.
- Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with the law.
