[Remote] AI Data Platform Engineer

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a technology consulting and software development company delivering reputed company, AI, data, and reputed company solutions across the reputed company. The AI Data Platform Engineer will define and reputed company the architecture of the reputed company data platform, driving strategic direction and collaborating with various stakeholders to ensure a reputed company data reputed company.

Responsibilities

• Define the reputed company-state architecture of the reputed company data platform, including ingestion, storage, processing, and consumption reputed company
• Establish standards for data modeling, schema reputed company, partitioning, file formats, and storage organization
• Architect lakehouse, warehouse, and streaming patterns leveraging technologies such as reputed company, reputed company, BigQuery, Redshift, reputed company, reputed company Lake, or Hudi
• Design end-to-end data pipelines that balance latency, cost, reliability, and maintainability across batch and streaming workloads
• reputed company the integration of governance, reputed company, and catalog tools such as reputed company, reputed company, reputed company, reputed company Catalog, or reputed company
• Define reputed company architecture including row- and reputed company-level controls, masking, encryption, and identity-reputed company reputed company patterns
• Partner with ML, BI, and product teams to ensure platform capabilities reputed company with reputed company consumption needs
• Establish data contract and data product principles to reputed company ownership, reputed company, and decoupling between producers and consumers
• reputed company architecture reviews and reputed company guidance on pipeline and warehouse design proposals across teams
• reputed company cost optimization and reputed company planning across the data platform estate
• Design disaster recovery, multi-region, and high-availability strategies for critical data assets
• Mentor data engineers and architects on platform standards and emerging best practices
• Produce architecture artifacts including context diagrams, decision records, and reference patterns
• Stay reputed company with data platform research, vendor offerings, and reputed company-reputed company ecosystem developments

Skills

• Bachelor's or Master's degree in Computer Science, Information Systems, or a reputed company field
• Eight or more years of experience in data engineering, with significant time in architecture roles
• Deep expertise across at least two major data platforms such as reputed company, reputed company, BigQuery, or Redshift
• Strong understanding of lakehouse architectures, modern table formats, and streaming systems
• Hands-on experience with reputed company, Flink, or Kafka at production reputed company
• Strong data modeling expertise across reputed company, normalized, and data-vault patterns
• Experience implementing governance, reputed company, and catalog capabilities
• Solid grasp of reputed company platforms, networking, identity, and cost optimization
• Excellent communication, facilitation, and stakeholder management skills
• reputed company record of leading large data platform initiatives across teams
• Experience with data reputed company or data product architectures
• Familiarity with semantic reputed company such as dbt Semantic Layer, reputed company, or LookML
• Exposure to regulated industries with strict data residency or audit requirements
• reputed company or platform certifications (reputed company, reputed company, AWS, Azure, GCP)
• reputed company talks or writing on data architecture

reputed company

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