We are seeking a highly experienced Data Platform Architect to lead the strategic modernization of our enterprise data ecosystem. This role will be responsible for defining and executing the architecture for large-scale data platform transformations, and utilizing cutting edge technologies both on-prem and in the cloud.
The ideal candidate has successfully delivered similar data modernization programs at enterprise scale and possesses deep expertise in cloud architectures, distributed computing, data engineering best practices, and large-scale data migrations. This individual will collaborate across engineering, infrastructure, architecture, and business teams to establish the future-state data platform strategy.
10+ years of experience in data platform architecture, data engineering, or distributed systems.
Demonstrated experience leading enterprise-scale cloud migration initiatives involving hundreds of terabytes or petabytes of data.
Strong experience with:
Databricks
Apache Spark
Apache Kafka
AMPS, MQ, Hadoop, or experience with other enterprise messaging systems
AWS cloud services
Large-scale data warehouse or lakehouse platforms
Experience migrating data from platforms such as Vertica, Hadoop, Teradata, Oracle, Snowflake, or similar technologies.
Strong software engineering background with expertise in:
Java
Python
SQL (any flavor)
Other object-oriented programming languages
Experience designing highly available, scalable distributed systems.
Strong understanding of data governance, security, compliance, and operational monitoring.
Bachelor's Degree
Databricks certification(s)
AWS Solutions Architect certification(s)
Experience implementing lakehouse architectures.
Experience designing streaming and real-time analytics platforms.
Experience within highly regulated financial services or enterprise environments.
Master's Degree
AWS cloud services,AWS Solutions,Hadoop,Kafka,Apache Kafka,Spark,Apache Spark,large-scale data,analytics solutions,cloud environment,cloud architectures,data governance,Data Platform,migrating data,secure data,data storage,data engineering best practices,Databricks,distributed computing,distributed systems,scalable distributed systems,enterprise data platforms,enterprise messaging systems,data engineering,Java,object-oriented programming languages,Oracle,performance optimization,Python,SQL,cloud-native services,Snowflake,software engineering,real-time analytics,Teradata,Vertica,resilient,AWS Solutions,architecture,Architect certification,cost management,governance frameworks,governance,infrastructure,financial services,mentorship,operational excellence,risk assessments,security,warehouse,technical leadership
Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.
At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact
Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility).
This posting is open for thirty (30) days.
