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Senior Data Engineer
Data Science Full-time Mid-Senior level 4h ago
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AI Summary
Designs and manages end-to-end data architectures for global businesses, focusing on ingestion, storage, transformation, and consumption of data. Ensures data platforms are optimized for performance, cost, and security while aligning with business goals. Requires over 10 years of experience in data engineering/architecture, cloud expertise, and strong communication skills.
Key Highlights
Fully remote role
Over 10 years of experience required
Cloud data platform expertise (Snowflake, GCP, Databricks, Azure/AWS)
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Key Responsibilities
Design and maintain end-to-end data architecture including lakehouse and data warehouse layers
Develop conceptual, logical, and physical data models
Architect batch and near-real-time data pipelines using modern ETL/ELT and streaming tools
Establish data governance, quality, lineage, metadata, and security standards
Collaborate with data engineers, BI, analytics, and AI/ML teams to ensure data readiness
Translate business and technical requirements into architecture roadmaps and communicate trade-offs to senior stakeholders
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Technical Skills Required
Job Description
This is a Fully Remote Job
About Our Client:
The organization is a digital solutions and technology services provider that helps global businesses navigate their digital transformation journeys. It offers a wide range of services to improve operational efficiency, manage legacy system transformations, and support business growth through innovative digital platforms. As part of a large portfolio under a major investment firm, the organization operates across multiple global locations, serving over 130 enterprises with a focus on delivering experience-led digital solutions.
About the Opportunity:
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