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

We're 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 numbers—it's about architecting the backbone that makes AI possible. You'll 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 you'll 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: Bachelor's or Master's 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 management's 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:

Clarvos 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