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Distinguished Engineer - Data Architect

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We are looking for a Distinguished Engineer- Data Architect to design and build the data foundation for our AI-driven security platform.

As part of a lean, elite three-person Data & AI team, you will serve as the ultimate technical authority on data scale, streaming architecture, multi-tenant security, and cost-efficient storage systems.

  • Design a unified streaming and batch platform for petabyte-scale security telemetry

  • Architect feature stores, vector database structures and lakehouse layers for AI workloads

  • Build multi-tenant isolation and privacy controls into the data fabric

  • Tune data processing, storage and cloud costs for performance and predictable scaling

  • Write high-performance code for critical infrastructure components

From the employer’s posting
We are looking for a Distinguished Engineer- Data Architect to design and build the data foundation for our AI-driven security platform. In this role, you will own the architectural blueprint and core implementation of our data strategy, transforming massive streams of high-velocity network traffic logs, customer configurations, and security alerts into high-performance, ML-ready data fabrics.
As part of a lean, elite three-person Data & AI team, you will serve as the ultimate technical authority on data scale, streaming architecture, multi-tenant security, and cost-efficient storage systems.
Design, implement, and evolve a unified blueprint for streaming and batch data processing
Partner directly with the Lead AI Engineer to architect the underlying storage, retrieval systems, and feature stores
Architect strict multi-tenant isolation, data privacy guardrails, and compliance controls directly into the data fabric
Drive infrastructure cost-efficiency and performance tuning across data processing engines, storage layers, and cloud infrastructure
Write clean, foundational, high-performance code for critical infrastructure components
Apply at SonicWall

Posting record

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Open 3 monthsWe first saw this posting 109 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records
Live
First seen by us
Jul 21, 2026109 days ago
Recorded sightings
78
Last seen by us
Nov 7, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 109

Up longer than most. Similar jobs usually come down between day 7 and day 55.

Well past SonicWall’s usual: its jobs come down by about day 35.

From 8,348 similar postings that came down, and 5 of SonicWall’s. Coming down is not always a hire.

SonicWall is hiring

2 open jobs

  • Takes jobs down at a usual pace
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • AWS
  • Azure
  • ClickHouse
  • Delta Lake
  • DuckDB
  • GCP
  • Iceberg
  • Kafka
  • Kubernetes
  • NoSQL
  • Spark
Where the posting names them
- Hybrid Storage Architecture: Mastery of polyglot persistence, spanning traditional relational databases, NoSQL, Columnar engines (e.g., ClickHouse, DuckDB), and Vector databases (e.g., Milvus, Qdrant, Pinecone). - Security & Infrastructure: Strong fundamentals in secure data architectures, network topography, encryption-at-rest/in-transit, containerization (Kubernetes), and cloud-native infrastructure (AWS/GCP/Azure). - Mindset: A rare combination of visionary architecture and hands-on execution. You thrive in ultra-lean teams, enjoy writing core code, and possess the pragmatism to build for immediate needs while planning for massive scale.
- Distributed Systems Expertise: Deep, authoritative knowledge of distributed processing and streaming engines (e.g., Apache Flink, Spark, Kafka, Pulsar) and modern lakehouse architectures (e.g., Iceberg, Delta Lake). - Hybrid Storage Architecture: Mastery of polyglot persistence, spanning traditional relational databases, NoSQL, Columnar engines (e.g., ClickHouse, DuckDB), and Vector databases (e.g., Milvus, Qdrant, Pinecone). - Security & Infrastructure: Strong fundamentals in secure data architectures, network topography, encryption-at-rest/in-transit, containerization (Kubernetes), and cloud-native infrastructure (AWS/GCP/Azure).
- Experience: 12+ years of data engineering and architecture experience, with a proven track record of designing production systems handling massive, high-throughput streaming datasets (e.g., networking logs, telemetry, or real-time event streams). - Distributed Systems Expertise: Deep, authoritative knowledge of distributed processing and streaming engines (e.g., Apache Flink, Spark, Kafka, Pulsar) and modern lakehouse architectures (e.g., Iceberg, Delta Lake). - Hybrid Storage Architecture: Mastery of polyglot persistence, spanning traditional relational databases, NoSQL, Columnar engines (e.g., ClickHouse, DuckDB), and Vector databases (e.g., Milvus, Qdrant, Pinecone).

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Demand for Data Leadership roles

New Data Leadership postings at the employers we follow are up 7% over the last 5 weeks compared with the 5 before.

Weekly new Data Leadership postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 789, the most 1,205, and the latest week had 836.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 5 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Leadership, by the work the posting describes.

Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.

Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.

Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.

US government figures for computer and information systems managers

Median yearly pay, May 2025
$175,140
Expected change, 2025 to 2035
15.8% more jobsagainst 3.5% for all jobs

The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.

Job description

View original posting ↗

For more than 30 years, SonicWall has delivered a partner-first unified cybersecurity portfolio that helps SMBs, MSPs, and IT teams consolidate network security, endpoint security, security service edge (SSE), and threat response across hybrid environments. By bringing connected technology, real-time threat intelligence, automation, and expert services together, SonicWall helps organizations simplify security operations, achieve better security outcomes, and lower total cost of ownership. Backed by a global ecosystem of more than 17,000 partners, SonicWall delivers enterprise-grade protection built for SMB and mid-market realities. 

For more information, visit www.sonicwall.com or follow us on X, LinkedIn, Facebook, and Instagram. 

Job Title: Distinguished Engineer - Data Architect

Role Overview:

We are looking for a Distinguished Engineer- Data Architect to design and build the data foundation for our AI-driven security platform. In this role, you will own the architectural blueprint and core implementation of our data strategy, transforming massive streams of high-velocity network traffic logs, customer configurations, and security alerts into high-performance, ML-ready data fabrics.

As part of a lean, elite three-person Data & AI team, you will serve as the ultimate technical authority on data scale, streaming architecture, multi-tenant security, and cost-efficient storage systems.

Key Responsibilities:

  • Architect the Core Data Platform: Design, implement, and evolve a unified blueprint for streaming and batch data processing capable of ingesting, normalizing, and storing petabyte-scale, high-velocity security telemetry.
  • Enable AI & Advanced Analytics: Partner directly with the Lead AI Engineer to architect the underlying storage, retrieval systems, and feature stores—including optimal vector database structures and data lakehouse layers—required for low-latency AI inference and training.
  • Enforce Zero-Trust Data Governance: Architect strict multi-tenant isolation, data privacy guardrails, and compliance controls directly into the data fabric to protect sensitive customer network configurations and logs.
  • Optimize Economics & Performance: Drive infrastructure cost-efficiency and performance tuning across data processing engines, storage layers, and cloud infrastructure, balancing ultra-low latency requirements with predictable cost scaling.
  • Lead by Example: Write clean, foundational, high-performance code for critical infrastructure components, setting the standard for engineering excellence within the team.

 

Required Experience & Skills:

  • Experience: 12+ years of data engineering and architecture experience, with a proven track record of designing production systems handling massive, high-throughput streaming datasets (e.g., networking logs, telemetry, or real-time event streams).
  • Distributed Systems Expertise: Deep, authoritative knowledge of distributed processing and streaming engines (e.g., Apache Flink, Spark, Kafka, Pulsar) and modern lakehouse architectures (e.g., Iceberg, Delta Lake).
  • Hybrid Storage Architecture: Mastery of polyglot persistence, spanning traditional relational databases, NoSQL, Columnar engines (e.g., ClickHouse, DuckDB), and Vector databases (e.g., Milvus, Qdrant, Pinecone).
  • Security & Infrastructure: Strong fundamentals in secure data architectures, network topography, encryption-at-rest/in-transit, containerization (Kubernetes), and cloud-native infrastructure (AWS/GCP/Azure).
  • Mindset: A rare combination of visionary architecture and hands-on execution. You thrive in ultra-lean teams, enjoy writing core code, and possess the pragmatism to build for immediate needs while planning for massive scale.

#LI-DS9

#LI-Pune

#LI-Hybrid

#LI-DataArchitect

#LI-DataPlatform

#LI-Dataarchitecture

SonicWall is an equal opportunity employer.  

We are committed to creating a diverse environment and are an equal opportunity employer. All qualified applicants receive consideration for employment without regard to race, color, ethnicity, religion, sex, gender, gender identity and expression, sexual orientation, national origin, disability, age, marital status, veteran status, pregnancy, or any other basis prohibited by applicable law.

At SonicWall, we pride ourselves on recruiting a diverse mix of talented people and providing active security solutions in 100+ countries.

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Location & working pattern

Pune, Maharashtra, India

For more than 30 years, SonicWall has delivered a partner-first unified cybersecurity portfolio that helps SMBs, MSPs, and IT teams consolidate network security, endpoint security, security service edge (SSE), and threat response across hybrid environments. By bringing connected technology, real-time threat intelligence, automation, and expert services together, SonicWall helps organizations simplify security operations, achieve better security outcomes, and lower total cost of ownership. Backed by a global ecosystem of more than 17,000 partners, SonicWall delivers enterprise-grade protection built for SMB and mid-market realities. For more information, visit www.sonicwall.com or follow us on X, LinkedIn, Facebook, and Instagram.
More source context
- Distributed Systems Expertise: Deep, authoritative knowledge of distributed processing and streaming engines (e.g., Apache Flink, Spark, Kafka, Pulsar) and modern lakehouse architectures (e.g., Iceberg, Delta Lake). - Hybrid Storage Architecture: Mastery of polyglot persistence, spanning traditional relational databases, NoSQL, Columnar engines (e.g., ClickHouse, DuckDB), and Vector databases (e.g., Milvus, Qdrant, Pinecone). - Security & Infrastructure: Strong fundamentals in secure data architectures, network topography, encryption-at-rest/in-transit, containerization (Kubernetes), and cloud-native infrastructure (AWS/GCP/Azure).

More relevant text appears in the full description.

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