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.