Data Architect
Reading, PA (in office 3+ days/wk)
Cloud & Data Platforms-AWS, Snowflake, S3, EMR, Glue, Redshift
Data Engineering-Spark, Kafka, Airflow, Talend, dbt, Python, SQL
Do you have 10+ years of experience in data architecture, data engineering, or enterprise data platform development?
Do you have 5+ years of experience leading data engineering projects and delivering enterprise-scale data solutions?
Qualifications
• Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field.
• 10+ years of experience in data architecture, data engineering, or enterprise data platform development.
• 5+ years of experience leading data engineering projects and delivering enterprise-scale data solutions.
• Strong expertise in data modeling, data warehousing, ETL/ELT, and cloud-based data platforms.
• Experience designing distributed, scalable, and high-performance data architectures.
• Strong understanding of Agile development methodologies, CI/CD, and DevOps practices.
• Excellent communication, stakeholder management, and leadership skills.
Preferred Technical Skills
• Cloud & Data Platforms: AWS, Snowflake, S3, EMR, Glue, Redshift
• Data Engineering: Spark, Kafka, Airflow, Talend, dbt, Python, SQL
• Databases: SQL Server, PostgreSQL, Aurora, DynamoDB
• Architecture: Data Lake/Lakehouse, Event-Driven Architecture, Microservices, REST APIs, Data Modeling
• DevOps: Kubernetes, Docker, Git, CI/CD, Infrastructure as Code