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Principal Software Architect - Data Platform

SecurityScorecardHybrid (NYC / Austin)Technology
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Salary
$270K - $330K USD
Job type
Full-time
Posted
11 Sept 2026
Status
Open · checked 7d ago

About this role

Role Overview

SecurityScorecard is hiring a Principal Software Architect to lead the system design of our data platform. This hybrid role is based out of the New York City or Austin offices, or available for fully remote work for candidates living outside a 75-mile radius of either location. This position is ideal for an experienced technical leader with a strong background in distributed systems who wants to shape internet-scale data architecture.

Key Responsibilities

Take full ownership of the system design for the data platform, covering everything from ingestion to the serving layer.
Establish clear service boundaries and data contracts between producers and consumers, including compatibility rules and schema ownership.
Design the lakehouse architecture, focusing on open table formats, partitioning strategies, schema evolution, and compaction at scale.
Architect the analytical serving layer to manage conflicting workload demands such as low-latency product queries, internal ad-hoc analytics, and bulk external deliveries.
Embed data quality, observability, validation paths, SLOs, and drift detection directly into the platform rather than adding them later.
Ensure correctness and reproducibility in the ratings pipeline, handling historical restatements and backfills when scoring logic updates.
Produce Technical Design Reviews (TDRs), design documents, and standards to drive architectural direction across teams.
Partner closely with the AI and Front-End Architects to refine data access patterns and mentor senior and staff engineers.

Requirements

10+ years of software or data engineering experience, featuring substantial time architecting large-scale data platforms.
Deep expertise in batch and stream processing at scale utilizing tools like Kafka, Flink, and Spark.
Strong proficiency in Python and PySpark, solid Java capability for Flink stream processing, and enough Scala to read and interpret existing Spark codebases.
Practical experience designing production lakehouse storage, including columnar formats like Parquet and open table formats like Iceberg.
Experience designing OLAP and analytical serving layers using technologies such as ClickHouse, Druid, Pinot, BigQuery, or Snowflake.
Strong understanding of distributed systems fundamentals, including exactly-once versus at-least-once semantics, backpressure, and pipeline failure modes.
Proven track record of building data quality, observability, and contracts as engineered system properties.
Experience leading large-scale data migrations while preserving history and accuracy.
Demonstrated ability to influence teams without formal authority, earning buy-in from skeptical engineers through prototyping and technical credibility.
Excellent technical writing and mentorship skills.

Nice to Have

Experience building data layers underneath machine learning or LLM systems, including feature stores, vector stores, or retrieval pipelines.
Background working with internet-scale telemetry, scan, or observability data, or previous experience in the cybersecurity industry.
A proven history of reducing platform costs at scale through compute right-sizing, query governance, or storage tiering.

Skills and Tools

Python, Java, Scala, C++, TypeScript, Node.js, React
Apache Kafka, Apache Flink, Apache Spark, Snowflake, ClickHouse, Druid, Pinot, BigQuery
AWS, Kubernetes, Terraform, Helm, ArgoCD, Iceberg, Parquet
Large Language Models (LLM)

Salary and Benefits

Competitive salary paired with stock options and annual performance-based incentive compensation awards.
Health benefits, unlimited paid time off, parental leave, and tuition reimbursements.
Estimated total compensation range for New York candidates is $270,000 to $330,000 USD (base salary plus bonus).
Estimated total compensation range for Austin candidates is $240,000 to $300,000 USD (base salary plus bonus).

About the Company

SecurityScorecard is a global leader in cybersecurity ratings, continuously rating over 12 million companies across 64 countries. Founded in 2013 and headquartered in New York City, the company helps organizations monitor and remediate digital risks. Its patented rating technology is utilized by over 25,000 organizations for board reporting, self-monitoring, third-party risk management, and cyber insurance underwriting. Recognized widely for its innovative technology and workplace culture, SecurityScorecard is backed by world-class investors.

How to Apply

Interested candidates should apply directly on the official SecurityScorecard careers page.

Skills and tech stack

PythonAWSKubernetesReactNode.jsTypeScriptJavaScalaSparkC++LLMKafkaSnowflakeTerraform

Questions candidates ask

What is the work location model for this role?

This position follows a hybrid model requiring employees who live within 75 miles of the Midtown NYC or Downtown Austin offices to work onsite 1 to 2 days per week. Candidates living outside a 75-mile radius of both offices are eligible for fully remote work.

What level of experience is required for the Principal Software Architect?

Applicants must have 10+ years of software or data engineering experience, including significant time spent architecting large-scale data platforms.

What is the salary range for the New York location?

The estimated total compensation range for candidates based in New York is $270,000 to $330,000 USD, which includes base salary and bonus.

What programming languages are needed for this position?

The role requires strong Python and PySpark skills, solid Java expertise for Flink stream processing, and enough familiarity with Scala to read an existing Spark codebase.

Does SecurityScorecard provide visa or immigration sponsorship for this job?

No, SecurityScorecard does not provide immigration sponsorship for this position.

Ready to apply?

The application is on the official SecurityScorecard careers page.

Apply on company site