Enterprise Data Solutions Architect
7 days ago
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Job Overview
As an Data Engineer, you will play a critical role in supporting the technical and operational architecture of our complex enterprise system. Your primary responsibilities will include evaluating conditioned data, working with technical support teams, creating or updating data models, developing processes, and improving data quality.
Key Responsibilities:
- Evaluate conditioned data to ensure proper mapping and readiness for User Acceptance Testing (UAT)
- Collaborate with technical support teams and business process owners to investigate and resolve production quality control failures
- Create or update data models to maintain organized data storage
- Develop processes and procedures to enhance operating quality and efficiency in the production environment
- Identify causes of errors or discrepancies and implement effective solutions to improve data quality
- Work closely with various teams to implement, measure, and improve quality standards for new and existing production functionality
- Establish procedures for data collection and analysis with service providers
- Consult with customers to determine how new data standards may affect operations
- Document data quality issues and recommend solutions to problems
Requirements:
- Active TS/SCI clearance with polygraph required
- Demonstrated experience providing data support to data engineering and ETL teams
- Experience programming to manipulate and analyze large datasets, build data pipelines, and automate tasks
- ETL experience, including formats such as XML, JSON, CSV, and YAML
- Experience using repository software like GIT
- Experience developing and maintaining data processing flows
- Experience with Agile Methodologies
- Ability to work effectively with highly technical IT database, development, and infrastructure staff
- Experience working with IT development teams and infrastructure support organizations
- Ability to communicate issues at appropriate levels of detail for executive audiences, business stakeholders, and technical teams
- Experience supporting processes for the technical and operational architecture of complex enterprise systems
Preferred Qualifications:
- Experience with Python, PySpark, or Apache
- Experience with Databricks
- Experience with Amazon Web Services (AWS)
- Experience with Linux
- Experience in SQL testing
Salary Range: $120,000 - $180,000 per year
Benefits:
We offer a competitive salary range of $120,000 to $180,000 per year, commensurate with experience. Additionally, we provide opportunities for professional growth, flexible work arrangements, and a comprehensive benefits package.
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