Quantiphi
Sr Data Engineer
Remote Data Engineering role with clear candidate location fit.
PostedJun 20, 2026
Eligible countries1 accepted country
Seniority signalSenior
Work settingRemote
Accepted candidate locations
Serbia
Role overview
Sr Data Engineer
Requirements and responsibilities
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Details
- 17x Google Cloud Partner of the Year awards in the last 8 years
- 3x AWS AI/ML award wins
- 3x NVIDIA Partner of the Year titles
- 2x Snowflake Partner of the Year awards
- We have also garnered Top analyst recognitions from Gartner, ISG, and Everest Group.
- We offer first-in-class industry solutions across Healthcare, Financial Services, Consumer Goods, Manufacturing, and more, powered by cutting-edge Generative AI and Agentic AI accelerators.
- We have been certified as a Great Place to Work for the third year in a row- 2021, 2022, 2023.
Key Responsibilities
- Define and own the overall data architecture for ingestion, storage, transformation, and analytics on GCP (focused on BigQuery and Cloud Composer).
- Design data modeling frameworks and best practices for structured and semi-structured insurance data (Policy, Claims, Billing).
- Collaborate with Business Analysts to translate functional Guidewire requirements into conceptual and logical data models.
- Work with Data Modelers and Data Engineers to define physical schemas, transformation strategies, and data lineage standards.
- Design and oversee data ingestion architecture from Guidewire (staging, raw, curated layers) using SQL-based ELT pipelines.
- Establish data governance, metadata management, and data quality frameworks for transparency and compliance.
- Review and optimize BigQuery data structures (partitioning, clustering, query tuning, storage tiering).
- Define naming conventions, security models (IAM/RLS), and access control standards for the data warehouse.
- Ensure architecture alignment with cloud best practices for scalability, cost optimization, and maintainability.
- Provide architectural direction and mentorship to the Data Engineering Lead, Data Modeler, and Data Engineers.
- Partner with enterprise security and infrastructure teams to maintain compliance with data privacy regulations.
Required Skills and Experience
- 10+ years of experience in data architecture/design with at least 6+ years on GCP.
- Deep expertise in Google BigQuery data warehouse design and performance tuning.
- Strong working knowledge of Cloud Composer (Airflow) and orchestration pipelines.
- Solid understanding of insurance data structures, preferably from Guidewire systems (PolicyCenter, BillingCenter, ClaimsCenter).
- Experience architecting enterprise-grade ELT frameworks and multi-layered data architectures (staging → raw → curated → analytics).
- Hands-on proficiency in SQL and schema design for analytical environments (star/snowflake models).
- Familiarity with data governance, cataloging, and metadata management.
- Ability to lead technical teams and guide design decisions with both functional and technical stakeholders.
Required Skills and Experience
- Be part of the fastest-growing AI-first digital transformation and engineering company in the world
- Be a leader of an energetic team of highly dynamic and talented individuals
- Exposure to working with fortune 500 companies and innovative market disruptors
- Exposure to the latest technologies related to artificial intelligence and machine learning, data and cloud
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