Sr SQL Architect

As a Senior GCP Data Architect at our company, you will be responsible for leading enterprise-scale cloud data architecture initiatives on Google Cloud Platform. Your passion for building scalable, high-performance data ecosystems will be key to success in this role. Key Responsibilities: - Lead the design and implementation of end-to-end data architecture on Google Cloud Platform. - Select, evaluate, and integrate GCP-native and open-source data tools aligned with business objectives. - Architect and oversee scalable batch and streaming data pipelines (ETL/ELT). - Translate complex business requirements into high-level and low-level solution designs. - Design and optimize modern data warehousing and real-time processing solutions. - Evaluate and recommend storage, compute, and streaming architectures. - Provide architectural governance, technical leadership, and mentorship. - Conduct design reviews and enforce best practices in cloud-native data engineering. Qualifications Required: - 9+ years of experience for L4 level or 13+ years of experience for L5 level in Data Engineering / Data Architecture. - Strong expertise in data warehousing concepts and advanced data modeling. - Deep understanding of distributed systems and cloud-native architectures. - Hands-on expertise with GCP services like BigQuery, Dataflow, Dataproc, Cloud Composer (Airflow), Pub/Sub, and Data Fusion. - Strong experience with Apache Spark for both batch and streaming data. - Experience designing real-time and streaming data solutions. - Proficiency in SQL, Python, and Linux. - Experience with ETL/ELT frameworks like DBT or Apache NiFi. - Hands-on experience with messaging systems such as Kafka or Pub/Sub. - Strong understanding of Lambda & Kappa architectures and modern data platform patterns. If you are looking to showcase your expertise in GCP data architecture and lead impactful initiatives, this role is perfect for you. Join us in our journey of digital transformation and modern data stack implementation. As a Senior GCP Data Architect at our company, you will be responsible for leading enterprise-scale cloud data architecture initiatives on Google Cloud Platform. Your passion for building scalable, high-performance data ecosystems will be key to success in this role. Key Responsibilities: - Lead the design and implementation of end-to-end data architecture on Google Cloud Platform. - Select, evaluate, and integrate GCP-native and open-source data tools aligned with business objectives. - Architect and oversee scalable batch and streaming data pipelines (ETL/ELT). - Translate complex business requirements into high-level and low-level solution designs. - Design and optimize modern data warehousing and real-time processing solutions. - Evaluate and recommend storage, compute, and streaming architectures. - Provide architectural governance, technical leadership, and mentorship. - Conduct design reviews and enforce best practices in cloud-native data engineering. Qualifications Required: - 9+ years of experience for L4 level or 13+ years of experience for L5 level in Data Engineering / Data Architecture. - Strong expertise in data warehousing concepts and advanced data modeling. - Deep understanding of distributed systems and cloud-native architectures. - Hands-on expertise with GCP services like BigQuery, Dataflow, Dataproc, Cloud Composer (Airflow), Pub/Sub, and Data Fusion. - Strong experience with Apache Spark for both batch and streaming data. - Experience designing real-time and streaming data solutions. - Proficiency in SQL, Python, and Linux. - Experience with ETL/ELT frameworks like DBT or Apache NiFi. - Hands-on experience with messaging systems such as Kafka or Pub/Sub. - Strong understanding of Lambda & Kappa architectures and modern data platform patterns. If you are looking to showcase your expertise in GCP data architecture and lead impactful initiatives, this role is perfect for you. Join us in our journey of digital transformation and modern data stack implementation.