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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