Sr. Data Analytics Architect Job at FDH Aero, Commerce, CA

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  • FDH Aero
  • Commerce, CA

Job Description

We are looking for a Sr. Data Analytics Architect will be responsible for designing, implementing, and maintaining data pipelines and infrastructure to support our organization's data-driven decision-making processes. You will work closely with analysts and other stakeholders to ensure data availability, quality, and reliability.

Responsibilities:

  • Design, build, and maintain robust data pipelines that extract, transform, and load (ETL) data from various sources into data warehouses or data lakes. These pipelines should be scalable and efficient
  • 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

Basic Qualifications:

  • Bachelor’s degree in computer science, or related field
  • Proven 5+ 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

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