
Data Platform Architect
Twilio
2m ago • Remote
Senior
Remote
207,200 - 274,140 USD/yr
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Potential salary for Data Platform Architect role
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$207,200 – $274,140/year
Quick Facts
Role: Data Platform Architect (Data Substrate)
Work style: Remote (United States); occasional travel for in-person meetings
Description
Twilio is hiring an Architect to set the direction for a major shift in its data platform over the next 3–5 years. You will own technical strategy and reference architectures across lake/lakehouse, storage and compute engines, governance/catalog, and privacy-by-design.
Responsibilities
Own the multi-year technical strategy for the data platform (lake/lakehouse, ClickHouse, Elasticsearch, governance) and keep components coherent as one platform.
Define where each engine fits and document migration paths between engines (e.g., ClickHouse vs open table formats on object storage).
Create and document major architecture decisions (ADRs/RFCs) for storage, open table formats, catalog strategy, compute engines, tenancy, data placement, and build-vs-adopt tradeoffs with cost/performance constraints at petabyte scale.
Set reference architectures for deployment, tuning, scaling, and operations of shared storage and query engines, including capacity, cost, tenant isolation, and upgrade strategy.
Define reliability model: availability targets, failure domains, disaster recovery, observability, and incident response patterns.
Build privacy and compliance into the architecture (deletion/right-to-erasure, retention, data residency, PII classification) across storage layers, backups, derived datasets, and upstream streaming data.
Drive data governance including classification, catalog/metadata, lineage, access control integrated with authentication and authorization, data contracts, and quality/integrity standards.
Review designs across the org and act as escalation point on hard distributed-systems and performance problems.
Mentor principal and senior engineers and grow architectural judgment across the organization.
Partner with product, security, infrastructure, and consuming teams to translate business needs into platform roadmaps; say no or re-sequence when tradeoffs require it.
Track emerging data technologies (e.g., streaming-first architectures, federated query, AI-ready data layers) and recommend adoption based on prototypes or benchmarks.
Requirements
Bachelor’s or Master’s degree in Computer Science/Engineering (or related) or equivalent practical experience.
15+ years of software development or related experience; at least 8 years in architecture or senior technical leadership.
Proven track record architecting and delivering large-scale data platforms and setting cloud strategy on AWS using Kubernetes, Terraform, and Helm.
Deep expertise in analytical storage and compute: columnar/open table formats, lake/lakehouse architecture, partitioning, indexing, and query planning with petabyte-scale cost/performance impact.
Breadth across analytical data storage/retrieval technologies with hands-on depth in at least two of: ClickHouse, Elasticsearch/OpenSearch, Spark/Trino/Flink.
Working knowledge of streaming systems (e.g., Kafka) and how they interact with downstream storage.
Practical experience designing data governance at scale: classification, catalog/metadata, lineage, and access control integrated with authentication/authorization.
Practical experience implementing privacy and compliance (deletion, retention, residency) across a large heterogeneous data estate.
Proficiency in one or more of Python, Java, and Go.
Track record writing and driving architecture decisions across multiple teams through influence.
Experience elevating engineering standards and mentoring senior engineers.
Operational excellence: high availability, observability, and incident response in distributed systems.
Strong written and verbal communication.
Benefits
Competitive pay
Generous time off
Parental and wellness leave
Healthcare
Retirement savings program
Paid sick time
Paid personal time off
Paid parental leave
Equity plan and corporate bonus eligibility may apply (role-dependent).
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