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Job Title: Data Architect AWS Data Lake & Snowflake
Location: Charlotte, NC or Jersey City, NJ (Hybrid)
Job Type: Full-Time
Job Description
We are seeking an experienced Data Architect with strong expertise in AWS Data Lake, Snowflake, Glue, and PySpark to design and implement scalable cloud-based data platforms. The ideal candidate will be responsible for architecting modern data solutions, optimizing ETL pipelines, and enabling enterprise analytics capabilities across large-scale financial datasets.
Key Responsibilities
Design and develop enterprise-grade data architecture solutions using AWS cloud technologies.
Build and manage scalable AWS Data Lake solutions for structured and unstructured data.
Design and optimize Snowflake data warehouse architecture and data models.
Develop and maintain ETL/ELT pipelines using AWS Glue and PySpark.
Collaborate with business stakeholders, data engineers, and analytics teams to define data strategies and requirements.
Ensure data governance, security, scalability, and high availability across platforms.
Optimize data ingestion, transformation, and processing performance.
Implement best practices for data quality, metadata management, and monitoring.
Support cloud migration and modernization initiatives.
Provide technical leadership and architectural guidance to engineering teams.
Required Skills
Strong experience with AWS Data Lake Architecture
Expertise in Snowflake data warehouse development and optimization
Hands-on experience with AWS Glue
Strong programming experience in PySpark
Experience with ETL/ELT frameworks and big data processing
Knowledge of AWS services such as S3, Lambda, IAM, Redshift, EC2, CloudWatch, etc.
Strong SQL and data modeling experience
Experience with CI/CD and DevOps practices in cloud environments
Excellent problem-solving and communication skills
Preferred Qualifications
Experience in the Financial Services domain preferred
AWS or Snowflake certifications are a plus
Experience with Agile/Scrum methodologies
Familiarity with data governance and security standards
Job Title: Data Architect AWS Data Lake & Snowflake
Location: Charlotte, NC or Jersey City, NJ (Hybrid)
Job Type: Full-Time
Job Description
We are seeking an experienced Data Architect with strong expertise in AWS Data Lake, Snowflake, Glue, and PySpark to design and implement scalable cloud-based data platforms. The ideal candidate will be responsible for architecting modern data solutions, optimizing ETL pipelines, and enabling enterprise analytics capabilities across large-scale financial datasets.
Key Responsibilities
Design and develop enterprise-grade data architecture solutions using AWS cloud technologies.
Build and manage scalable AWS Data Lake solutions for structured and unstructured data.
Design and optimize Snowflake data warehouse architecture and data models.
Develop and maintain ETL/ELT pipelines using AWS Glue and PySpark.
Collaborate with business stakeholders, data engineers, and analytics teams to define data strategies and requirements.
Ensure data governance, security, scalability, and high availability across platforms.
Optimize data ingestion, transformation, and processing performance.
Implement best practices for data quality, metadata management, and monitoring.
Support cloud migration and modernization initiatives.
Provide technical leadership and architectural guidance to engineering teams.
Required Skills
Strong experience with AWS Data Lake Architecture
Expertise in Snowflake data warehouse development and optimization
Hands-on experience with AWS Glue
Strong programming experience in PySpark
Experience with ETL/ELT frameworks and big data processing
Knowledge of AWS services such as S3, Lambda, IAM, Redshift, EC2, CloudWatch, etc.
Strong SQL and data modeling experience
Experience with CI/CD and DevOps practices in cloud environments
Excellent problem-solving and communication skills
Preferred Qualifications
Experience in the Financial Services domain preferred
AWS or Snowflake certifications are a plus
Experience with Agile/Scrum methodologies
Familiarity with data governance and security standards