Senior Data Architect

You are a highly experienced Senior Data Architect who will lead the design and implementation of scalable, cloud-native data platforms on Google Cloud Platform (GCP). Your role involves defining enterprise data architecture, enabling modern analytics and AI/ML capabilities, and guiding engineering teams to build secure, high-performance, and scalable data solutions. **Key Responsibilities:** - Define and drive the enterprise data architecture strategy aligned with business and technology objectives. - Architect and implement modern data platforms on GCP, including ingestion, processing, storage, and analytics layers. - Design and build scalable batch and real-time data pipelines. - Lead architecture for data lakes, data warehouses, and lakehouse platforms. - Collaborate with product, analytics, AI/ML, and engineering teams to enable data-driven applications. - Establish data governance, security, lineage, and compliance frameworks. - Provide guidance on data modeling, performance optimization, and cloud-native best practices. - Evaluate and recommend data technologies, tools, and architectural patterns. - Mentor and provide technical leadership to data engineers and architects. **Qualifications Required:** - 15+ years of experience in data architecture, data engineering, or enterprise data platforms. - Strong experience designing and implementing cloud-native data solutions on GCP. - Hands-on expertise with key GCP services: BigQuery, Dataflow, Pub/Sub, Dataproc, Cloud Storage, Composer (Airflow). - Deep understanding of data warehousing, data lakes, and lakehouse architectures. - Strong experience with distributed data processing frameworks (e.g., Spark, Beam). - Expertise in data modeling, ETL/ELT frameworks, and large-scale pipeline design. - Experience enabling advanced analytics, AI/ML, and real-time data platforms. - Understanding of vector databases and integration with Vertex AI. - Strong knowledge of data governance, security, and privacy best practices. - Ability to work with senior stakeholders and translate business needs into scalable solutions. The company offers exciting projects focusing on industries like High-Tech, communication, media, healthcare, retail, and telecom. You will have the opportunity to collaborate with a diverse team in a laidback environment and work on global brands. Work-life balance is a priority with adaptable schedules, work-from-home options, and paid time off. Professional development is encouraged through various training programs. Competitive salaries, medical insurance, bonuses, and fun perks like sports events and cultural activities await you at the vibrant offices of the company. You are a highly experienced Senior Data Architect who will lead the design and implementation of scalable, cloud-native data platforms on Google Cloud Platform (GCP). Your role involves defining enterprise data architecture, enabling modern analytics and AI/ML capabilities, and guiding engineering teams to build secure, high-performance, and scalable data solutions. **Key Responsibilities:** - Define and drive the enterprise data architecture strategy aligned with business and technology objectives. - Architect and implement modern data platforms on GCP, including ingestion, processing, storage, and analytics layers. - Design and build scalable batch and real-time data pipelines. - Lead architecture for data lakes, data warehouses, and lakehouse platforms. - Collaborate with product, analytics, AI/ML, and engineering teams to enable data-driven applications. - Establish data governance, security, lineage, and compliance frameworks. - Provide guidance on data modeling, performance optimization, and cloud-native best practices. - Evaluate and recommend data technologies, tools, and architectural patterns. - Mentor and provide technical leadership to data engineers and architects. **Qualifications Required:** - 15+ years of experience in data architecture, data engineering, or enterprise data platforms. - Strong experience designing and implementing cloud-native data solutions on GCP. - Hands-on expertise with key GCP services: BigQuery, Dataflow, Pub/Sub, Dataproc, Cloud Storage, Composer (Airflow). - Deep understanding of data warehousing, data lakes, and lakehouse architectures. - Strong experience with distributed data processing frameworks (e.g., Spark, Beam). - Expertise in data modeling, ETL/ELT frameworks, and large-scale pipeline design. - Experience enabling advanced analytics, AI/ML, and real-time data platforms. - Understanding of vector databases and integration with Vertex AI. - Strong knowledge of data governance, security, and privacy best practices. - Ability to work with senior stakeholders and translate business needs into scalable solutions. The company offers exciting projects focusing on industries like High-Tech, communication, media, healthcare, retail, and telecom. You will have the opportunity to collaborate with a diverse team in a laidback environment