Job Title : Data Vault Data Engineer Lead
Type : Contract (13 years of experience)
Location : Atlanta, GA or Encinitas, CA
Roles and Responsibilities
Data Vault Architecture and Design
- Lead the design and implementation of Data Vault 2.0 architecture to support enterprise data warehousing solutions.
- Define and standardize Data Vault components, including hubs, links, and satellites, ensuring scalability, auditability, and alignment with business requirements.
- Develop and optimize raw vault and business vault layers to meet performance and agility needs.
Data Integration and Engineering
Oversee the ingestion, transformation, and modeling of data from various structured and unstructured sources into the Data Vault.Implement ETL / ELT processes using industry-standard tools (e.g., Talend, Azure Data Factory, Informatica, dbt, or Snowflake Streams).Ensure robust data quality and governance standards across data pipelines and integration workflows.Leadership and Team Collaboration
Act as the technical lead for a team of data engineers, providing guidance on Data Vault best practices and performance tuning.Collaborate with business stakeholders, data architects, and analysts to translate requirements into actionable data models and solutions.Provide mentorship to junior engineers, conducting code reviews and ensuring adherence to best practices.Project Management and Delivery
Manage and prioritize tasks for the team, ensuring project deliverables are on time and meet quality standards.Provide detailed documentation, including data lineage, process flows, and metadata management.Proactively address risks, troubleshoot issues, and ensure alignment with organizational goals.Innovation and Optimization
Stay updated with emerging data engineering technologies and techniques, proposing improvements to enhance system performance and efficiency.Implement automation strategies for data pipeline processes to improve reliability and reduce manual effort.Optimize storage and query performance in cloud-based data platforms such as Snowflake, AWS, or Azure.Compliance and Governance
Ensure compliance with data privacy regulations and internal governance policies.Establish robust monitoring, auditing, and logging frameworks for data operations.Required Qualifications
Experience
13 years of experience in data engineering and enterprise data warehousing.5 years of hands-on experience with Data Vault 2.0 methodology and implementation.Proven experience in designing and deploying data solutions on cloud platforms like AWS , Azure , GCP , or Snowflake .Technical Skills
Proficiency in SQL , Python , and ETL / ELT tools (e.g., Talend, Informatica, Azure Data Factory).Strong knowledge of data modeling tools (e.g., Erwin , dbt , PowerDesigner ).Expertise in cloud-based data warehouses (e.g., Snowflake , Redshift , or BigQuery ).Version control using Git or equivalent tools.Soft Skills
Excellent leadership and mentoring abilities.Strong communication and collaboration skills with both technical and non-technical stakeholders.Ability to work independently and manage contract-based deliverables effectively.Certifications (Preferred)
Data Vault 2.0 CertificationCertifications in Snowflake , AWS , or Azure
