Job Title

Min 10 years of experience neededRole OverviewWe 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 ResponsibilitiesDefine and implement enterprise-wide data architecture strategies across multiple cloud platformsDesign data lakehouse, data mesh, and real-time streaming architectures using GCP, AWS, and Azure servicesLead the development of conceptual, logical, and physical data models to support analytics, operational systems, and AI/ML workloadsCollaborate with engineering, analytics, and business teams to align data architecture with strategic goalsEstablish data governance, metadata management, and data quality frameworksArchitect ETL/ELT pipelines, data ingestion frameworks, and semantic layers for BI and MLOptimize data storage, compute, and query performance across cloud environmentsEnsure compliance with security, privacy, and regulatory standards (e.g., GDPR, HIPAA, SOC 2)Evaluate and integrate emerging technologies to future-proof the data ecosystemMentor data engineers, modelers, and junior architects Required Skills & Qualifications10+ years of experience in data architecture, with proven success in large-scale, cloud-native environmentsDeep 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 systemsProficiency in SQL, Python, and infrastructure-as-code tools (e.g., Terraform, CloudFormation)Experience with metadata catalogs, data lineage tools, and governance platformsFamiliarity with BI tools (Looker, Power BI, Tableau) and ML platforms (Vertex AI, SageMaker, Azure ML)Bachelor’s or Master’s degree in Computer Science, Engineering, or related field Preferred QualificationsCertifications: GCP Professional Data Engineer, AWS Certified Solutions Architect, or Azure Data Engineer AssociateExperience in regulated industries such as finance, healthcare, or governmentExposure to data mesh principles, event-driven architectures, and real-time analyticsStrong leadership and stakeholder management skills