Min 10 years of experience needed Role Overview We are seeking a visionary and hands-on Senior Data Architect with 10 years of experience to lead the design and implementation of scalable, secure, and high-performance data architectures across GCP, AWS, and Azure. This role is central to our cloud-first strategy, enabling advanced analytics, AI/ML, and real-time data capabilities across the enterprise Key Responsibilities Define and implement enterprise-wide data architecture strategies across multiple cloud platforms Design data lakehouse, data mesh, and real-time streaming architectures using GCP, AWS, and Azure services Lead the development of conceptual, logical, and physical data models to support analytics, operational systems, and AI/ML workloads Collaborate with engineering, analytics, and business teams to align data architecture with strategic goals Establish data governance, metadata management, and data quality frameworks Architect ETL/ELT pipelines, data ingestion frameworks, and semantic layers for BI and ML Optimize data storage, compute, and query performance across cloud environments Ensure compliance with security, privacy, and regulatory standards (e.g., GDPR, HIPAA, SOC 2) Evaluate and integrate emerging technologies to future-proof the data ecosystem Mentor data engineers, modelers, and junior architects Required Skills & Qualifications 10 years of experience in data architecture, with proven success in large-scale, cloud-native environments Deep expertise in GCP (BigQuery, Dataflow, Dataplex, Pub/Sub), plus working knowledge of AWS (Redshift, Glue, S3) and Azure (Synapse, Data Factory, ADLS) Strong understanding of data modeling, data warehousing, streaming, and NoSQL systems Proficiency in SQL, Python, and infrastructure-as-code tools (e.g., Terraform, CloudFormation) Experience with metadata catalogs, data lineage tools, and governance platforms Familiarity with BI tools (Looker, Power BI, Tableau) and ML platforms (Vertex AI, SageMaker, Azure ML) Bachelors or Masters degree in Computer Science, Engineering, or related field Preferred Qualifications Certifications: GCP Professional Data Engineer, AWS Certified Solutions Architect, or Azure Data Engineer Associate Experience in regulated industries such as finance, healthcare, or government Exposure to data mesh principles, event-driven architectures, and real-time analytics Strong leadership and stakeholder management skills
Job Title
Senior Data Architect