Job Title: Data Architect / Data Engineer -----------------------------W2

Experience Required: 10+ Years

Location: Atlanta, Georgia OR Richmond, Virginia

Visa: H1B, USC, GC, H4 EAD, L2 EAD

Job Description:

We are seeking a highly skilled and experienced Data Architect / Data Engineer with 10+ years of experience to join our growing data team. The ideal candidate will be responsible for designing and developing robust, scalable data architectures and pipelines to support enterprise-level analytics and reporting solutions.

Key Responsibilities:

• Design and implement scalable and efficient data architectures for enterprise data platforms.
• Develop and manage data pipelines and ETL processes using modern data engineering tools.
• Collaborate with cross-functional teams to understand data requirements and translate them into solutions.
• Ensure data quality, integrity, and governance across platforms.
• Work with cloud platforms (AWS, Azure, or GCP) to build and manage data lakes and warehouses.
• Optimize data storage and retrieval for performance and scalability.
• Create and maintain technical documentation and data flow diagrams.
• Implement best practices in data modeling, metadata management, and data lineage tracking.

Required Skills & Qualifications:

• 10+ years of hands-on experience in data architecture and engineering.
• Proficient in SQL, Python, and/or Scala.
• Strong experience with ETL tools (e.g., Apache NiFi, Informatica, Talend, Airflow).
• Deep knowledge of relational and non-relational databases (e.g., SQL Server, PostgreSQL, MongoDB, Cassandra).
• Experience with data warehouse solutions (Snowflake, Redshift, BigQuery, etc.).
• Cloud experience with AWS, Azure, or Google Cloud Platform.
• Familiarity with CI/CD processes and tools (e.g., Git, Jenkins).
• Strong understanding of data governance, security, and compliance standards.
• Excellent communication and problem-solving skills.

Preferred Qualifications:

• Certifications in cloud platforms or data engineering tools.
• Experience with real-time data processing tools (Kafka, Spark Streaming, etc.).
• Knowledge of DevOps practices and infrastructure as code (Terraform, CloudFormation).
• Background in working within Agile/Scrum environments.