Principal/Senior Data Engineer

Reports to: Head of ML Data Infrastructure

Department: AI-Engineering Platform

FLSA Category: Exempt

Position Type: Full-Time Mid-Senior level

Travel Requirement: 0-10% Quarterly for meetings

Office Location: Remote US Based

JOB SUMMARY

Were looking for a Principal/Senior Data Engineer with a passion for building next-generation data platforms that fuel AI innovation. This role is not about crunching numbersits about architecting the backbone that makes AI possible. Youll design implement and scale a Data as a Service (DaaS) platform that delivers reliable high-quality data to power inference systems and AI solutions built by our ML engineering teams.

This is a hands-on leadership role where youll define the data architecture streamline ingestion and transformation pipelines enforce governance and quality and ensure that data becomes a first-class product across the organization.

Essential Functions & Key Responsibilities:

• Architect & Build scalable high-performance data infrastructure on Databricks Spark and GCP enabling AI and ML applications at scale.
• Data as a Service: Deliver clean reliable and real-time data pipelines that fuel downstream inference services.
• Integrations: Ingest and unify structured unstructured and streaming data from diverse enterprise and external sources.
• Governance & Quality: Define standards for data quality lineage security and compliance; implement automated validation and monitoring.
• Collaboration: Partner closely with ML engineers to provide the right data services and APIs that accelerate model training and deployment.
• Optimization: Continuously improve performance of large-scale data pipelines storage layers and retrieval systems.

Qualifications & Experience Requirements:

• Education: Bachelors or Masters in Computer Science Engineering or related field.
• Experience: 10 years in data engineering with proven experience architecting enterprise-grade platforms.
• Core Skills:
  • Expert in Databricks PySpark GCP (must-have).
  • Strong in data architecture data transformation workflows and data modeling.
  • Hands-on with real-time streaming (Kafka Pub/Sub) and batch processing.
  • Proficiency in SQL Python and distributed systems.
  • Strong knowledge of different data platforms (Data lake Lakehouse Data warehouse Data Mesh) Vector DB and/or Knowledge-graph DBs
• Preferred Skills:
  • Working knowledge of Azure GCP AWS Airflow BigQuery and modern data/knowledge platforms such as Weaviate Pinecone and Neo4j
  • Experience designing APIs for data access and integration.
• Leadership: Demonstrated ability to lead complex data initiatives leading engineers and drive best practices.
• Mindset: Builder at heart with strong problem-solving skills curiosity and focus on data as a product.

Why This Role Matters

You will define the data foundation of our Agentic-AI platform transforming raw information into a trusted scalable data service that directly fuels brand growth solutions in MarTech and AdTech. Your work ensures our Application & ML engineers can build inference-as-a-service products faster cheaper and with higher accuracy.

PHYSICAL REQUIRMENTS/WORKING CONDITIONS:

Standing/Walking/Mobility: Must have mobility to attend meetings remotely and in person.

Climbing/Stooping/Kneeling: 0% - 10% of the time.

Lifting/Pulling/Pushing: 0% - 10% of the time.

Fingering/Grasping/Feeling: Must be able to write type and use a telephone system 100% of the time.

Sitting: Sitting for prolonged and extended periods of time.

This job description reflects managements assignment of essential functions; it does not prescribe or restrict the tasks that may be assigned. Management may revise duties as necessary without updating this job description.

For more information about the company please visit our website: is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race color sex age national origin religion sexual orientation gender identity status as veteran disability or any other federal state or local protected class.

Clarvos complies with federal and state disability laws and makes reasonable accommodation for applicants and employees with disabilities.

If you require reasonable accommodation in completing the application interviewing completing any pre-employment testing or otherwise participating in the employee selection process please direct your inquiries to .