Data Analytics Architect

$130,000 - $150,000/Yr

Fastener Distribution Holdings - Los Angeles, CA

Full-time - Mid Level

Los Angeles, CA

1,001-5,000 employees

Merchant Wholesalers, Durable Goods

About the position

The Data Analytics Architect at FDH Aero is responsible for designing, implementing, and maintaining data pipelines and infrastructure that support data-driven decision-making processes within the organization. This role involves collaboration with analysts and stakeholders to ensure data availability, quality, and reliability, while optimizing data processing and security measures.

Responsibilities

• Design, build, and maintain robust data pipelines that extract, transform, and load (ETL) data from various sources into data warehouses or data lakes.
• Manage and optimize data warehouses to ensure high performance, availability, and scalability.
• Implement best practices for data modeling and schema design.
• Integrate data from different systems and sources, ensuring data consistency and accuracy.
• Collaborate with cross-functional teams to understand data requirements.
• Implement data quality checks and validation processes to identify and rectify data inconsistencies or anomalies.
• Ensure data is accurate, complete, and up-to-date.
• Optimize data processing and query performance to meet business requirements.
• Identify and resolve bottlenecks in data pipelines and database systems.
• Implement and maintain data security measures to protect sensitive information.
• Follow best practices for data encryption, access control, and compliance with data privacy regulations.
• Create and maintain documentation for data pipelines, processes, and data schemas and ensure knowledge sharing within the team.
• Set up monitoring and alerting systems to proactively detect and address issues with data pipelines and infrastructure.
• Perform troubleshooting and root cause analysis.
• Design systems that can scale with growing data volumes.
• Automate routine tasks to improve operational efficiency.
• Collaborate with analysts, software engineers, and other stakeholders to understand data requirements and deliver solutions that meet their needs.
• Stay updated on emerging technologies and tools in the data engineering field.
• Evaluate and recommend new technologies that can enhance data processing capabilities.

Requirements

• Bachelor's degree in computer science or related field.
• Proven 2-4 years of experience as a Data Engineer, preferably in a senior or lead role.
• Strong programming skills in languages such as Python, Java, or Scala.
• Proficiency in SQL and experience with relational and NoSQL databases.
• Expertise in data warehousing and ETL processes.
• Familiarity with data integration and data modeling concepts.
• Knowledge of big data technologies such as Hadoop, Spark, or Kafka is a plus.
• Experience with cloud platforms like AWS, Azure, or Google Cloud.
• Strong problem-solving and troubleshooting skills.
• Excellent communication and collaboration skills.

Nice-to-haves

• Experience with big data technologies such as Hadoop, Spark, or Kafka.
• Familiarity with cloud platforms like AWS, Azure, or Google Cloud.

Benefits

• Competitive salary ranging from $130,000 to $150,000 annually.
• Equal Opportunity Employer with a commitment to diversity and inclusion.