Prophecy Technologies
AWS Data Architect
β - Featured Role | Apply direct with Data Freelance Hub
This role is for an AWS Data Architect, a 6-month contract position offering competitive pay. Requires 8+ years IT experience, 5+ years in data engineering, strong Python, SQL, AWS services expertise, and healthcare finance systems knowledge.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
Unknown
-
ποΈ - Date
June 3, 2026
π - Duration
Unknown
-
ποΈ - Location
Unknown
-
π - Contract
Unknown
-
π - Security
Unknown
-
π - Location detailed
United States
-
π§ - Skills detailed
#Leadership #AWS (Amazon Web Services) #Data Architecture #AWS Glue #SQL (Structured Query Language) #Spark (Apache Spark) #S3 (Amazon Simple Storage Service) #PySpark #Big Data #Data Processing #Shell Scripting #Airflow #Python #Data Pipeline #Agile #SNS (Simple Notification Service) #Bash #Cloud #Data Lake #Data Engineering #Lambda (AWS Lambda) #Redshift #Scripting
Role description
Position Summary
The Senior Data Engineer leads complex data engineering projects, working on designing data
architectures that align with business requirements. This role focuses on optimizing data
workflows, managing data pipelines, and ensuring the smooth operation of data systems.
Minimum Qualifications
β’ 8+ Years overall IT experience with minimum 5 years of work experience in below tech
β’ skills
β’ Tech Skills
β’ ο§ Strong experience in Python Scripting and PySpark for data processing
β’ ο§ Proficiency in SQL, dealing with big data processing
β’ ο§ Proven experience in data processing for data lake in Iceberg format, with
β’ strong understanding of architecture
β’ ο§ Experience in AWS Glue jobs
β’ ο§ Experience in AWS cloud platform and its data services (S3, Redshift, Lambda,
β’ EMR, Airflow, Postgres, SNS, Event bridge)
β’ ο§ Expertise in BASH/Shell scripting
β’ Strong understanding of healthcare Finance systems and experience leading data
β’ engineering teams
β’ Experience in Agile environments.
β’ Excellent problem-solving skills and attention to detail.
β’ Effective communication and collaboration skills.
Responsibilities
β’ Leads development of data pipelines and architectures that handle large-scale data sets.
β’ Designs, constructs, and tests data architecture aligned with business requirements.
β’ Provides technical leadership for data projects, ensuring best practices and high-quality
β’ data solutions.
β’ Collaborates with product, finance, and other business units to ensure data pipelines
β’ meet business requirements.
β’ Oversees development of data solutions that enable predictive and prescriptive
β’ analytics.
β’ Ensures the technical quality of solutions, managing data as it moves across
β’ environments.
β’ Aligns data architecture to Healthfirst solution architecture.
Position Summary
The Senior Data Engineer leads complex data engineering projects, working on designing data
architectures that align with business requirements. This role focuses on optimizing data
workflows, managing data pipelines, and ensuring the smooth operation of data systems.
Minimum Qualifications
β’ 8+ Years overall IT experience with minimum 5 years of work experience in below tech
β’ skills
β’ Tech Skills
β’ ο§ Strong experience in Python Scripting and PySpark for data processing
β’ ο§ Proficiency in SQL, dealing with big data processing
β’ ο§ Proven experience in data processing for data lake in Iceberg format, with
β’ strong understanding of architecture
β’ ο§ Experience in AWS Glue jobs
β’ ο§ Experience in AWS cloud platform and its data services (S3, Redshift, Lambda,
β’ EMR, Airflow, Postgres, SNS, Event bridge)
β’ ο§ Expertise in BASH/Shell scripting
β’ Strong understanding of healthcare Finance systems and experience leading data
β’ engineering teams
β’ Experience in Agile environments.
β’ Excellent problem-solving skills and attention to detail.
β’ Effective communication and collaboration skills.
Responsibilities
β’ Leads development of data pipelines and architectures that handle large-scale data sets.
β’ Designs, constructs, and tests data architecture aligned with business requirements.
β’ Provides technical leadership for data projects, ensuring best practices and high-quality
β’ data solutions.
β’ Collaborates with product, finance, and other business units to ensure data pipelines
β’ meet business requirements.
β’ Oversees development of data solutions that enable predictive and prescriptive
β’ analytics.
β’ Ensures the technical quality of solutions, managing data as it moves across
β’ environments.
β’ Aligns data architecture to Healthfirst solution architecture.
