Lead Data Architecture Specialist
7 days ago
About the Role
Pacific Data Integrators is seeking a skilled Lead Data Architecture Specialist to spearhead our data engineering efforts. In this position, you will be responsible for designing and implementing scalable data pipelines, ensuring seamless data movement across systems, and supporting data initiatives through strong technical expertise.
Key Responsibilities
• Data Pipeline Development & Management: Develop, implement, and optimize data pipelines using tools like Python and SQL to ensure efficient data movement between systems.
• Database Management & Optimization: Collaborate with databases such as MS SQL Server, SingleStore, and Databricks to ensure high performance, reliability, and scalability of data storage and retrieval processes.
• Job Monitoring & Status Tracking: Monitor and track overnight job status, including SQL Server Agent jobs and Python scripts, ensuring successful execution and timely resolution of issues that arise.
• Data Modeling: Work with data translators to understand business requirements and create effective data models using DBT (Data Build Tool).
• Version Control & Workflow Management: Utilize Git for version control and manage development workflows via Azure DevOps to ensure smooth collaboration within the team.
• Collaboration & Communication: Collaborate with data scientists, analysts, and engineers to ensure data availability, accuracy, and quality. Participate in regular meetings to discuss project progress and challenges.
• Troubleshooting & Issue Resolution: Identify and troubleshoot issues in data workflows, providing solutions to enhance efficiency and minimize downtime.
Requirements & Qualifications
• Proficient in SQL: Strong knowledge of SQL for querying, analyzing, and optimizing data in relational databases.
• Proficient in Python: Expertise in Python for data extraction, transformation, and integration tasks.
• Database Expertise: Hands-on experience working with MS SQL Server, SingleStore, and Databricks.
• DBT (Data Build Tool): Solid experience in designing and managing data models using DBT.
• Data Pipeline Development: Experience building and maintaining data pipelines for efficient data movement.
• Version Control & Workflow Management: Experience using Git for version control and managing workflows.
• Job Monitoring: Ability to monitor and manage scheduled jobs.
• Problem-Solving: Strong analytical skills for troubleshooting and resolving issues.
Preferred Qualifications
• Experience with cloud-based data platforms.
• Familiarity with data warehousing concepts.
• Knowledge of additional programming languages.
Estimated Salary Range: $120,000 - $180,000 per annum
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