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Data Architect-68464

Reading, Pennsylvania, United States💼 Full-time🗓 2026-08-14 → 2026-09-26

Core

Design and modernize enterprise-scale data platforms powering business intelligence, advanced analytics, AI/ML, and enterprise reporting.

Role type

Senior IC Enterprise Data Architect

Builds

Scalable cloud data platforms, data warehouses, data lakes, lakehouse solutions, and real-time data integration pipelines.

Domain

Cloud data engineering and enterprise data architecture

Deliverable

production ML models | product features

Required skills

Enterprise data architecture, data modeling (conceptual/logical/physical), data warehousing, ETL/ELT, batch/streaming processing, distributed systems design, AWS data services, Snowflake, Spark, Kafka, Airflow, dbt, SQL, Python, Kubernetes, Docker, CI/CD, Infrastructure as Code

Preferred skills

Event-driven architecture, microservices, REST APIs, AI/ML enablement, emerging technology evaluation

Technologies

AWS (S3, EMR, Glue, Redshift), Snowflake, Spark, Kafka, Airflow, Talend, dbt, Python, SQL, SQL Server, PostgreSQL, Amazon Aurora, DynamoDB, Kubernetes, Docker, Git

Responsibilities

Define and maintain enterprise data architecture; Architect scalable cloud data platforms; Lead ETL/ELT and real-time data integration; Partner with stakeholders to translate requirements into technical architectures; Establish architecture patterns and standards; Provide technical leadership to data engineering teams; Evaluate and recommend emerging technologies.

Seniority

Senior, hands-on IC with leadership responsibilities

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