Lead Data Engineer

· Remote

Location

Remote

Type

Full Time

Job Description

DynatraceJobs
Lead Data Engineer

Lead Data Engineer

Reposted 2 Hours Ago
Hiring Remotely in Boston MA USA
Remote or Hybrid
150K-180K Annually
Senior level
Artificial Intelligence • Big Data • Cloud • Information Technology • Software • Big Data Analytics • Automation
Dynatrace delivers answers and intelligent automation from data.
The Role
As a Lead Data Engineer you'll design and maintain data systems and pipelines using Snowflake ensuring data quality and governance for AI applications.
Summary Generated by Built In
Your role at Dynatrace

The Data Engineer builds the foundation for everything else that sits on. Without clean well-structured timely data there are no models to train no experiments to run and no products to ship. You design build and operate the pipelines data platforms and transformation layers that power the team's AI systems — and you do this at enterprise scale not just in sandboxed environments. You have a track record of moving beyond PoC data work into hardened production infrastructure: systems that handle real data volumes real failure modes and real business SLAs. You treat data lineage contracts and observability as engineering requirements — not afterthoughts. Snowflake is your primary platform; you know it deeply including Cortex. This role will report up into the VP of AI Collaboration and Data's team.

Your role at Dynatrace:

  • Architect and operate Snowflake as the core data platform — including Snowpark for ML Cortex LLM functions Cortex Search and Dynamic Tables for AI-ready data products.
  • Design and maintain batch and streaming data pipelines for ingestion transformation and delivery of training and inference data at enterprise scale.
  • Build and own dbt transformation layers: modular data models tests documentation and CI/CD-integrated dbt deployments — including data contracts that define and enforce schema agreements between data producers and consumers.
  • Maintain full data lineage from source to training artefact to inference endpoint — enabling reproducibility auditability and root-cause analysis when model quality degrades.
  • Implement AI data observability across all pipelines: data freshness monitoring volume anomaly detection schema drift alerting and data quality SLAs using dbt tests Great Expectations or equivalent tooling.
  • Design and expose MCP (Model Context Protocol) servers on top of Snowflake data assets — enabling AI agents to query retrieve and act on enterprise data securely and reliably with access-controlled and auditable tool interfaces.
  • Build and maintain Power BI dataflows and semantic models that connect Snowflake data to business-facing dashboards and operational reports.
  • Build and operate feature stores and vector databases that serve both model training and real-time RAG inference — with lineage versioning and responsible data governance policies covering PII handling consent and data retention.
  • Manage data access controls anonymization and governance policies — ensuring all datasets used for AI training and inference comply with data protection regulations and responsible AI standards.
  • Optimize Snowflake and AWS compute costs and query performance; implement credit governance resource monitoring and cost allocation for AI workloads.

This is a remote eligible position. Candidates who live within a 45 mile radius of Boston MA; Detroit MI; and Denver CO will be required to work hybrid (2 days per week) out of our Dyntrace office. Candidates are required to work EST hours for this position.

What will help you succeed

Minimum Requirements:

  • 5+ years of data engineering experience with proven track record building and operating Snowflake in production at enterprise scale.

Preferred Requirements:

  • Expert-level proficiency in Snowflake (Snowpark Cortex Dynamic Tables) and dbt (models tests documentation data contracts CI/CD integration).
  • Expert-level proficiency in Python and SQL.
  • Experience building and monitoring real-time data pipelines.
  • Hands-on experience with AWS data services (S3 Glue Lambda Redshift SageMaker Pipelines).
  • Proven track record implementing data observability using Great Expectations dbt tests or Monte Carlo.
  • Experience with orchestration tools and infrastructure-as-code.
  • Demonstrated experience implementing data lineage and observability on a live platform.
  • Track record applying responsible data governance practices: PII handling access controls anonymization consent tracking and data retention policies.
  • Experience optimizing cloud compute costs and implementing resource monitoring for large-scale data workloads.
Why you will love being a Dynatracer

• A one-product software company creating real value for the largest enterprises and millions of end customers globally striving for a world where software works perfectly.
• Working with the latest technologies and at the forefront of innovation in tech on scale; but also in other areas like marketing design or research.
• A team that thinks outside the box welcomes unconventional ideas and pushes boundaries.
• An environment that fosters innovation enables creative collaboration and allows you to grow.
• A globally unique and tailor-made career development program recognizing your potential promoting your strengths and supporting you in achieving your career goals.
• A truly international mindset that is being shaped by the diverse personalities expertise and backgrounds of our global team.
• A relocation team that is eager to help you start your journey to a new country always there to support and by your side.
• Attractive compensation packages and stock purchase options with numerous benefits and advantages.

Compensation and Rewards

DOE salary $150K - $180K plus Health Dental Life STD LTD 401K PTO. Total compensation may vary depending on candidate experience/education and location.

Equal Employment Opportunity

All your information will be kept confidential according to EEO guidelines.

We offer competitive compensation company-sponsored premium benefits medical dental vacation/holidays company matching 401(k) Plan etc. Dynatrace is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race sex color gender identity religion national origin ancestry citizenship physical abilities age sexual orientation creed disability status veteran status pregnancy genetic status or any other characteristic protected by law. If your disability makes it difficult for you to use this site please contact [email protected]. Dynatrace participates in E-Verify participant information in English and Spanish. Right to work information in English and Spanish. EEO is the Law. To be considered for this position please upload your resume/CV.

Skills Required

  • 5+ years of data engineering experience
  • Proven track record building and operating Snowflake in production
  • Expert-level proficiency in Snowflake and dbt
  • Expert-level proficiency in Python and SQL
  • Experience building and monitoring real-time data pipelines
  • Hands-on experience with AWS data services
  • Proven track record implementing data observability
  • Experience with orchestration tools and infrastructure-as-code
  • Demonstrated experience implementing data lineage and observability
  • Track record applying responsible data governance practices
  • Experience optimizing cloud compute costs

What the Team is Saying

Michael Polter
Jamie Mallett
Trevor Ealy
Hannah Fleming
Kristen Hanlan

Dynatrace Compensation & Benefits Highlights

  • Leave & Time Off BreadthTime‑off programs include quarterly company‑wide Wellness Days paid parental leave paid volunteer time and in some roles unlimited PTO and sabbaticals. Flexible hours and hybrid options are highlighted alongside these policies.
  • Healthcare StrengthHealth coverage includes medical dental vision and mental‑health support via an Employee Assistance Program. Materials emphasize comprehensive care and well‑being resources.
  • Equity Value & AccessibilityOwnership opportunities include equity grants and an Employee Stock Purchase Plan in eligible locations. These are positioned as part of a market‑driven total compensation approach.

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The Company
HQ: Boston MA
5200 Employees
Year Founded: 2005

What We Do

Dynatrace lets customers understand their business like never before so they can see beyond the complexity find and fix problems faster and automate manual tasks with Al — so they can focus on what truly matters: running their business.

Why Work With Us

In a world that runs on software our Al-driven insights cut through the noise allowing you to focus on what truly matters by automating manual tasks and resolving issues with pinpoint accuracy. Our culture fueled by curiosity openness and authenticity drives our pursuit of innovation and excellence in crafting the Dynatrace platform.

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Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Majority of roles are hybrid with flexibility. Please speak with our recruiting team for specific details on hybrid work.

Typical time on-site: 2 days a week
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Date Posted

05/14/2026

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