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).
* Bachelor’s or Master’s 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.
