Jobs · Engineering

Data Architect/ Sr. Data Engineer

Brite Group Inc · Washington, DC · 5 days ago
EngineeringFull-time

Responsibilities

  • Design, develop, and maintain data integration solutions using Informatica PowerCenter.
  • Implement and optimize data pipelines within Azure environment and other ETL technologies.
  • Architect and manage data lake infrastructure to support data ingestion, storage, and processing.
  • Design and develop data mappings and data catalogs.
  • Implement and manage Informatica Data Quality (IDQ) for data validation and standardization.
  • Utilize Informatica Power Exchange for efficient data extraction and loading from various sources.
  • Collaborate with cross-functional teams to gather requirements and define data integration strategies.
  • Develop custom scripts and applications using Python for data transformation and manipulation tasks.
  • Ensure data quality and integrity throughout the data integration process.
  • Troubleshoot and resolve issues related to data processing, data load, and integration workflows.
  • Informatica and Oracle DB administration and upgrades, patching, vulnerability remediation.
  • Stay updated with the latest trends and best practices in data integration and cloud technologies.
  • Provide technical guidance and mentorship to junior team members.
  • Participate in code reviews, documentation, and knowledge-sharing sessions.

Qualifications

  • Bachelor’s degree in computer science, Information Technology, or a related field.
  • Minimum 8+ years of relevant experience.
  • Informatica certification(s) and Microsoft certification(s) in Synapse Analytics and Azure (preferred).
  • Proven experience in designing and implementing data integration solutions using Informatica PowerCenter.
  • Strong understanding of cloud-based data platforms, particularly Microsoft Azure.
  • Hands-on experience with Microsoft Synapse Analytics for data warehousing and analytics.
  • Proficiency in Python programming for data manipulation, transformation, and automation tasks.
  • Familiarity with data lake architecture and best practices for managing structured and unstructured data.
  • Experience with Informatica IDQ, Power Exchange, and MDM.
  • Excellent problem-solving skills and attention to detail.
  • Able to work effectively in a fast-paced, collaborative environment.
  • Strong communication skills with the ability to articulate technical concepts to non-technical stakeholders.

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