Data Engineer Senior II

In this role as a Data Architect, your primary focus will be on architecting and maintaining scalable data infrastructure, mentoring team members, ensuring data platform reliability, and leading data engineering initiatives. **Key Responsibilities:** - Design and manage robust, scalable, and secure data platforms and pipelines. - Architect data lake/data warehouse solutions such as Redshift, BigQuery, Snowflake, and Delta Lake. - Build real-time and batch data pipelines using tools like Apache Airflow, Kafka, Spark, and DBT. - Ensure data governance, lineage, quality, and observability across all pipelines. - Collaborate with stakeholders to define data strategy, architecture, and KPIs. - Lead code reviews, mentor junior/mid-level engineers, and enforce best practices. - Drive performance optimization for queries, storage, and infrastructure. - Integrate CI/CD workflows for data deployment and testing. - Evaluate and implement new tools/technologies as needed. **Qualifications Required:** - Expert-level proficiency in Python and SQL. - Deep understanding of distributed systems and data processing frameworks. - Proficiency in cloud platforms such as AWS/GCP/Azure, containerization, and CI/CD. - Experience with streaming platforms like Kafka, Kinesis, and data orchestration. - Strong experience with Airflow, DBT, and warehouse tuning. - Leadership skills, effective communication, and mentoring abilities. If there are any additional details about the company in the job description, please provide that information separately.,