Senior Data Platform Architect

Responsibilities

• Define and lead the data platform strategy, aligning with analytics, AI/ML, and business intelligence goals.
• Architect scalable solutions including lakehouse models, event-driven pipelines, and multi-cloud storage strategies.
• Guide engineering teams in building robust batch and streaming data pipelines using best-in-class tools and frameworks.
• Define reference architectures, blueprints, and guardrails to enable repeatable, secure, and performant platform components.
• Evaluate and implement tools across data orchestration, transformation, lineage, cataloging, and observability (e.g., Airflow, dbt, Delta Lake, Kafka, Snowflake, Databricks).
• Embed data privacy, lineage, and access control into the platform’s core for compliance (GDPR, HIPAA, etc.).
• Design cost-efficient, elastic architectures on AWS, Azure, or GCP using infrastructure-as-code (Terraform, CDK, etc.).
• Partner with analytics, product, and infrastructure leaders to ensure the platform meets current and future business needs.
• Uplift engineering maturity across the team via design reviews, architecture clinics, and hands-on mentorship.

Requirements

• 8+ years in data engineering, architecture, or platform leadership roles
• Proven experience architecting large-scale distributed data platforms in cloud environments
• Strong expertise in data lake/lakehouse, streaming, and warehouse architectures
• Hands-on familiarity with tools such as Spark, Kafka, dbt, Airflow, Delta Lake, and cloud-native storage & compute (e.g., S3 + EMR / BigQuery / Synapse)
• Solid understanding of data modeling, cataloging, versioning, lineage, and access controls
• Excellent communication skills — able to influence at both engineering and executive levels
• Bachelor's or Master’s in Computer Science, Data Engineering, or a related field

Preferred Qualifications

• Cloud certification (AWS Certified Data Analytics, GCP Professional Data Engineer, etc.)
• Experience deploying data platforms in regulated industries (banking, healthcare, public sector)
• Familiarity with data mesh, domain-driven design, or federated governance patterns
• Exposure to MLOps and integration of AI/ML workloads on data platforms

Benefits

• Competitive salary and performance bonuses
• Comprehensive health insurance
• Professional development and certification support
• Opportunity to work on cutting-edge AI projects
• International exposure and travel opportunities
• Flexible working arrangements
• Career advancement opportunities in a rapidly growing AI company
• Unique opportunity to shape the future of AI implementation with a talented team at the forefront of technological innovation

About the Company

Deeplight is a rapidly growing AI company focused on delivering innovative, enterprise-scale data and AI solutions. Join a talented and passionate team dedicated to driving successful digital transformation for clients across various sectors.