Senior Engineering Manager, Drata
Data Platform
$165.4-255.4k
Salary dependent on location + Restricted Stock Units
Security and compliance automation
Be an early applicant
Security and compliance automation
501-1000 employees
Be an early applicant
$165.4-255.4k
Salary dependent on location + Restricted Stock Units
501-1000 employees
Company mission
To help companies earn and keep the trust of their users, customers, partners, and prospects.
Role
Who you are
- If you're excited by the idea of delivering impact through technical execution, leading talented engineers, and solving complex challenges across the modern data stack, we want to meet you
- 10+ years of hands-on experience as a Data/Software Engineer working on data pipelines, distributed systems, or analytics infra
- 3+ years of experience managing engineering teams, ideally across platform and data disciplines
- Strong expertise in Python and SQL, with a track record of building reliable ETL/ELT jobs
- Proficiency in tools like Snowflake, dbt, Airflow, Terraform, Decodable (Flink), Cube.dev, or equivalent
- Experience owning high-scale production data systems (batch + streaming) and enforcing strong testing & observability practices
- Familiarity with leveraging AI tools through data platforms such as Snowflake Cortex
- Excellent communicator and cross-functional partner; comfortable navigating product, infra, and business tradeoffs
- Excellent communication and storytelling skills with the ability to rationalize the "why" behind decisions
What the job involves
- Drata is looking for a hands-on Senior Engineering Manager to lead our Data Platform team
- This team is the backbone of Drata's mission to help build trust across the internet by delivering scalable, automated, and intelligent compliance solutions
- As a hypergrowth B2B SaaS company, data accuracy and trust are core to our product, and this role is pivotal in ensuring we deliver on that promise
- We are building a first-class, engineering-led data organization of Data Engineers, Data Analysts and Analytics Engineers
- Your mission is to lead by example—building infrastructure, mentoring engineers, driving architecture decisions, and ensuring the performance and reliability of our data pipelines
- Manage, coach, and mentor a team of highly skilled engineers (data, platform)
- Design and deliver production-grade infrastructure for data transformation and real-time streaming
- Be a hands-on contributor—review code, own architecture, troubleshoot performance, and unblock engineers
- Drive data platform reliability across our Snowflake, dbt, and Decodable (Flink) pipelines
- Work closely with the Business Analytics team, helping them scale analyses, ingest new data sources, and productionize models in dbt
- Act as a bridge between the Business Analytics and Engineering teams—modeling upstream product data, supporting business operations use cases, and building systems that are analysis-friendly and production-grade
- Utilize AI capabilities through Snowflake Cortex for tasks such as semantic search, text embedding, and classification
- Partner with business departments to activate Large Language Models (LLMs) that improve operations, automate workflows, and reduce cognitive load for decision-makers across the company
- Define, enforce, and evolve SLAs, data governance, lineage, and monitoring standards (Monte Carlo, etc.)
- Own CI/CD and infra-as-code practices for the data platform (e.g., Snowflake Terraform, Airflow orchestration, observability)
- Partner with technical leads and report to the VP of Engineering, Data and AI to drive long-term strategy and team growth
- Collaborate with Engineering to understand the upstream data model and model it properly in the data warehouse
- The team streams thousands of production MySQL databases using Decodable and assists Engineering with data quality investigations and surfacing upstream changes that could impact business decisions
- Partner with Customer Success to transform upstream data into actionable insights for CSMs. This includes activating playbooks, pushing operational signals to downstream systems, and supporting customer communications
- Support Marketing with targeting and segmentation initiatives, as well as attribution modeling and campaign analytics
- Enable customer-facing product features by pushing data back into the product platform through Cube.dev, Drata's semantic layer
Our take
Traditional manual compliance workflows are tedious, error-prone and extremely hard to scale, which presents special difficulties for rapidly growing companies in maintaining strong data security. Drata enables companies to manage compliance easily, by automatic monitoring and evidence collection, building a single picture of risk across the company.
The company has several competitors offering compliance automation solutions, including Vanta and Secureframe , but Drata is unique in automating the tasks themselves rather than generating notifications for teams to action. This approach has garnered Drata a client base of thousands of companies including bambooHR, Notion and Abnormal.
Drata has grown swiftly since its 2020 founding. Iconiq Growth and GGV Capital have led Drata's impressive funding rounds. It intends to use its influx of cash to invest heavily in research and development, and to roll out new features for auditors and startups.
Freddie
Company Specialist at Welcome to the Jungle
Insights
90% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Dec 2022
$200m
SERIES C
Nov 2021
$100m
SERIES B
Total funding: $328.2m
Company benefits
- 100% coverage for medical, dental, and vision
- $500 annually towards personal development opportunities
- Unlimited vacation policy for strong, fully charged batteries
- Flexible hours and work from home (especially these days!)
- Reach your financial goals while reducing your taxes
- Pre-tax savings plans for healthcare and dependent care
- Work From Home Stipend
- Learning Enrichment Stipends
- 16 weeks fully-paid parental leave
- 401K Retirement Plan
Company HQ
University City, San Diego, CA
Leadership
Adam Markowitz
(CEO)Previously VP & GM at Instructure. Founder & former CEO of Portfolium. Has worked in Mechanical and Aerospace Engineering.
Daniel Marashlian
(CTO)Former Technical Advisory Board Member at the National University. Previously Senior Director Of Engineering at Instructure. Co-founded Portfolium and RapidEngage.
Troy Markowitz
(COO)Advisor at Knack and former Contributor to Forbes. Previously the VP of Strategy, Growth Markets at Instructure. Prior experience in Business Development.
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