Job Description

Company Description

Sandisk understands how people and businesses consume data and we relentlessly innovate to deliver solutions that enable today's needs and tomorrow's next big ideas. With a rich history of groundbreaking innovations in Flash and advanced memory technologies, our solutions have become the beating heart of the digital world we're living in and that we have the power to shape.


Sandisk meets people and businesses at the intersection of their aspirations and the moment, enabling them to keep moving and pushing possibility forward. We do this through the balance of our powerhouse manufacturing capabilities and our industry-leading portfolio of products that are recognized globally for innovation, performance and quality.


Sandisk has two facilities recognized by the World Economic Forum as part of the Global Lighthouse Network for advanced 4IR innovations. These facilities were also recognized as Sustainability Lighthouses for breakthroughs in efficient operations. With our global reach, we ensure the global supply chain has access to the Flash memory it needs to keep our world moving forward.

Principal Data Platform Engineer

(Data Engineering | Platform | Streaming | Cloud)

ESSENTIAL DUTIES AND RESPONSIBILITIES:

We are seeking a

Principal Data Platform Engineer

to

define, evolve, and scale

our enterprise data platform. This role is

data-first

and architecture-driven, with hands-on impact across

ETL/ELT, big data, streaming, and cloud data platforms

. You will act as a

technical authority

, shaping long-term platform direction, setting engineering standards, and mentoring senior engineers across teams.

Deep expertise in core data engineering is required. Candidates are not expected to be experts in every listed technology.


What You'll Do

Own and define data platform architecture

, standards, and long-term technical roadmap. Design and oversee

scalable ETL/ELT pipelines

using

Python

across multiple data domains. Establish

data ingestion and data access APIs

using

Python and FastAPI

for platform consistency and reuse. Lead design and optimization of

batch and streaming pipelines

using

Spark and Apache Kafka

. Drive architecture decisions for

relational databases (MySQL, Oracle)

,

cloud data warehouses (AWS Redshift)

, and

NoSQL systems (Elasticsearch)

. Guide large-scale data processing using

Hive, Trino, and Hadoop distributed computing

. Define standards for

object and file storage integrations

(

AWS S3, Dell ECS, SFTP

). Enable

data quality, lineage, governance, and reliability

at platform scale. Support analytics and

BI enablement

(Power BI, Spotfire) through well-modeled datasets. Contribute to

lightweight internal UIs

using

React

for data observability, configuration, or platform tooling (custom, not product UI). Mentor senior and junior engineers; influence architecture across teams.

Why Join Us:

Principal-level ownership

with hands-on technical impact Opportunity to define

enterprise-scale data architecture

High trust, high autonomy engineering culture Focus on

long-term platform quality

, not short-term delivery

Qualifications

Required

10+ years

of experience in

data engineering, data platform, or large-scale distributed data systems

. Demonstrated ownership of

data platform architecture

in complex environments. Deep expertise in

Python, SQL, and ETL/ELT design

. Strong hands-on experience with

distributed data systems

, including: +

Big data:

Spark, Hive, Trino, Hadoop
+

Streaming:

Apache Kafka
Experience designing platforms using: +

MySQL, Oracle, AWS Redshift

+

Elasticsearch or other NoSQL systems

Experience building

data-focused APIs

using

FastAPI

. Familiarity with

AWS cloud

,

Docker

,

Kubernetes and

CI/CD

at production scale. Proven ability to

influence without authority

, mentor senior engineers, and drive cross-team alignment.

Preferred

Lakehouse technologies (

Delta Lake, Iceberg

) Workflow orchestration (

Airflow, Dagster, Prefect

)

MLOps platforms

(

MLflow, Kubeflow, SageMaker

) Real-time processing frameworks (

Flink, Kafka Streams

) Knowledge of

data governance and compliance

(GDPR, CCPA) Experience building

internal tooling UIs

using

React

Additional Information

Why Join Us?

You'll shape the

future of data and AI strategy

within an organization committed to

innovation and sustainability

. This is an opportunity to

lead impactful, enterprise-scale data initiatives

and influence how the company leverages

data-driven intelligence

to drive growth and efficiency.


Sandisk thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution.


Sandisk is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at jobs.accommodations@sandisk.com to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

NOTICE TO CANDIDATES:

Sandisk has received reports of scams where a payment is requested on Sandisk's behalf as a condition for receiving an offer of employment. Please be aware that Sandisk and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately to Sandisk Ethics Helpline or email compliance@sandisk.com.