Senior Data Platform Architect

Jobgether • United States

Remote

This Job is No Longer Active This position is no longer accepting applications

AI Summary

Jobgether is seeking a Senior Data Platform Architect to define and shape the foundation of a modern enterprise data platform. This role requires deep technical expertise in cloud data platforms, streaming systems, and lakehouse architectures. The successful candidate will lead the design of scalable, secure, and high-performance data ecosystems.

Key Highlights

Define and evolve the enterprise data platform architecture

Establish standards for data modeling and governance

Design and optimize modern data architectures using platforms like Snowflake and Databricks

Key Responsibilities

Define and evolve the enterprise data platform architecture

Establish standards for data modeling and governance

Design and optimize modern data architectures using platforms like Snowflake and Databricks

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Technical Skills Required

Cloud data platforms Streaming systems Lakehouse architectures Snowflake Databricks BigQuery Redshift Iceberg Delta Lake Hudi Spark Flink Kafka

Benefits & Perks

Competitive compensation

100% remote work

Comprehensive benefits package

Opportunity to work on enterprise-scale data platform architecture

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Nice to Have

Experience with data mesh concepts

Semantic layers

Regulated data environments

Job Description

This role is a senior-level architecture position responsible for defining and shaping the foundation of a modern enterprise data platform. You will lead the design of scalable, secure, and high-performance data ecosystems spanning ingestion, storage, processing, and consumption layers. The position requires deep technical expertise in cloud data platforms, streaming systems, and lakehouse architectures, along with strong architectural leadership across cross-functional teams. You will collaborate closely with data engineering, analytics, ML, and business stakeholders to ensure data is structured, governed, and accessible for advanced use cases. A key part of the role involves setting enterprise-wide standards for data modeling, governance, and lifecycle management. This is a highly strategic position where your decisions directly influence data reliability, scalability, and business intelligence capabilities at scale.

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