Amazon RedshiftAWSCloudEC2MySQLOraclePySparkScalaSparkSQLData EngineeringAnalyticsRedshiftAmazon Web ServicesLambdaS3GlueAthenaPostmanRESTful
About this role
Role Overview
Lead the design and implementation of end-to-end data architectures supporting complex client implementations.
Develop and maintain conceptual, logical, and physical data models across multiple systems and platforms.
Architect and document source-to-target mappings, transformation logic, and data lineage across heterogeneous data models.
Ensure data solutions align with scalability, performance, security, and governance best practices.
Serve as the primary data architecture lead during client onboarding and implementation engagements.
Facilitate client workshops, discovery sessions, and data mapping reviews.
Present architecture designs, data flows, and implementation strategies to technical and non-technical client audiences.
Act as a trusted technical advisor, clearly articulating design options, trade-offs, and recommendations.
Design and implement cloud-native data solutions on Amazon Web Services (AWS).
Leverage AWS services such as S3, EMR, Glue, Athena, Redshift, EC2, Lambda, and related components to build scalable data pipelines.
Requirements
Bachelor’s Degree in Computer Science, Data Engineering, Information Systems, Engineering, or a related technical discipline, or equivalent professional experience.
8+ years of experience in technology, data architecture, information exchange, and/or the healthcare domain.
5+ years of experience leading or architecting complex client implementations and data onboarding initiatives.
3+ years of experience in a senior data architecture or lead data engineering role.
Proven experience working directly with external clients in a consultative, client-facing capacity.
Expert knowledge of data modeling and cross-model data mapping.
Strong proficiency in SQL and enterprise databases (Oracle, MySQL, Aurora, Redshift, or equivalent).
Extensive hands-on experience with AWS cloud services and data platforms.
Experience with big data and analytics technologies (Spark, Spark SQL, Scala or PySpark).
Experience with RESTful APIs and API integration tools such as Postman.
Proficiency with Microsoft Office / Office 365 tools.
Tech Stack
Amazon Redshift
AWS
Cloud
EC2
MySQL
Oracle
PySpark
Scala
Spark
SQL
Benefits
Unlimited PTO for salaried associates + 9 paid holidays.
Hourly associates start at 19 days of PTO.
Interest in wellness reimbursement up to $250/year for gym memberships, racing events, weight management programs, etc.
Education reimbursement offered.
Paid Parental Leave for both moms and dads, birth and adoptive parents.
Generous HSA company contribution.
Healthcare, vision, dental benefits.
401k match program available on day one.
PDM Implementation Data Architect at Availity | JobVerse