Senior Director - Data Engineering & Machine Learning

Moduscreate

United States Of America, United States
$200,000—$240,000 usd py
On-site
Cloud-native data platforms on aws, azure, or gcp
Databricks, snowflake, redshift, bigquery, spark, kafka, airflow, dbt, kubernetes
Sagemaker, azure ml, or tensorflow
Modus Create is seeking a Senior Director of Data Engineering & Machine Learning to lead their global Data & ML practice. The ideal candidate will have extensive experience in data and software engineering, particularly in leading teams and developing cloud-native data platforms while promoting a collaborative and innovative work culture

Job Summary

  • Lead and scale our global Data & ML practice, guiding distributed teams in architecting modern data platforms and delivering intelligent AI/ML-powered products.
  • Bridge deep technical expertise with business vision, shaping data and ML strategy, mentoring leaders, and supporting pre-sales engagements.
  • Operate in a 100% remote culture grounded in autonomy, mastery, inclusion, and continuous learning, driving transformative client outcomes.

Matching Summary

Match Score: 85

Modus Create is seeking a Senior Director of Data Engineering & Machine Learning to lead their global Data & ML practice. The ideal candidate will have extensive experience in data and software engineering, particularly in leading teams and developing cloud-native data platforms while promoting a collaborative and innovative work culture.

Salary

$200,000—$240,000 USD

Skills & Requirements

Must-have

  • cloud-native data platforms on AWS, Azure, or GCP
  • Databricks, Snowflake, Redshift, BigQuery, Spark, Kafka, Airflow, dbt, Kubernetes
  • SageMaker, Azure ML, or TensorFlow
  • DataOps, MLOps, CI/CD for data pipelines and ML models
  • pre-sales, solution design, proposal development
  • hire, mentor, and grow high-performing distributed teams
  • stakeholder management across technical, executive, and cross-functional audiences
  • translate complex technical capabilities into measurable business impact
  • global, remote-first consulting environment

Nice-to-have

  • integrating partnerships and capabilities across acquisitions
  • building modular engineering frameworks, tooling standards
  • positioning AI, security, and DevSecOps modernization
  • creating inclusive, experimentation-driven engineering cultures

Key Requirements

  • 15+ years of experience in data or software engineering roles
  • 7+ years leading Data Engineering or ML teams
  • Hands-on experience designing and scaling cloud-native data platforms
  • Experience defining and driving machine learning strategy
  • Proven experience in pre-sales
  • Demonstrated ability to hire, mentor, and grow teams
  • Strong stakeholder management skills
  • Ability to translate complex technical capabilities into measurable business impact
  • Experience operating in a fast-paced, global, remote-first consulting environment

Work Rights

Not specified

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