Engineering Manager, OLAP Privacy & Infrastructure
About the Team
Join DoorDash as we build one of the industry's most sophisticated privacy and governance platforms at massive scale. As Engineering Manager for OLAP Privacy & Infrastructure, you'll lead a critical team ensuring DoorDash meets global privacy regulations (GDPR, CCPA) while enabling data-driven innovation. You must be located in Pune for this hybrid opportunity.
About the Role
- Scale & Impact: Process millions of privacy requests annually across petabyte-scale data lakes serving thousands of internal data consumers
- Technical Complexity: Build systems that balance regulatory compliance, sub-hour latency SLAs, and cost efficiency - solving problems few companies face at this scale
- Greenfield Innovation: Shape next-generation capabilities including LLM-powered classification services, autonomous RBAC policy engines, and ML governance frameworks — establishing model lineage, training data provenance, and fairness auditing standards as AI becomes central to compliance at scale
- Global Scope: Work across US, EU, and India with direct impact on DoorDash's international expansion strategy
You’re excited about this opportunity because you will…
- Lead the OLAP Privacy & Infrastructure team in building and scaling privacy-compliant data infrastructure across DoorDash's analytical data ecosystem
- Own the technical vision and execution for encryption, classification, and privacy rights (RTF/RTI/Legal Holds) within the Data Lake
- Partner with Identity, Ingestion, Product teams, and Privacy to orchestrate complex cross-functional initiatives spanning multiple geographies
- Drive architectural decisions for PII classification services, data encryption frameworks, and future RBAC systems
- Participate in Data Platform leadership reviews covering product roadmap, program execution, and operational excellence
- Build recruiting pipeline, mentor senior ICs, and develop technical leadership within the team
We’re excited about you because you have…
- Experience: 10+ years of experience in software engineering, with at least 2+ years of hands-on management experience leading high-growth teams.
- Deep expertise in large-scale data processing: Production experience with Spark
- Strong understanding of encryption systems: Hands-on knowledge of encryption algorithms (AES-256, RSA), key management systems (KMS, HSM), and secure data handling patterns including encryption at rest and in transit
- Building or operating systems that analyze, tag, and categorize data at scale - whether through rule-based systems, ML models, or metadata frameworks
- Nice To Haves:
- Databases such as Cassandra, CockroachDB
- Query engines
- Python, golang
- Familiarity with Databricks system, Snowflake etc
Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only
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About DoorDash
At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started by enabling door-to-door delivery, and we are looking for team members who can help us go from a company that is known as the place you order food to a company that people turn to for any and all goods.
DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees’ happiness, healthiness, and overall well-being by providing comprehensive benefits and perks.
Our Commitment to Diversity and Inclusion
We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.
If you need any accommodations, please inform your recruiting contact upon initial connection.
We use Covey as part of our hiring and/or promotional process for jobs in certain locations.
The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: https://getcovey.com/nyc-local-law-144
To request a reasonable accommodation under applicable law or alternate selection process, please inform your recruiting contact upon initial connection.