Data Architect
Listed on 2026-07-31
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IT/Tech
Data Engineering, Cloud Computing: Infrastructure & Operations, Data Warehousing, Information Security & Data Protection
We are seeking a visionary Senior Data Architect to lead our enterprise-wide data transformation. You will be the primary architect responsible for the strategic migration of legacy data infrastructures into a modern, cloud-native data plane. This role requires a rare blend of deep engineering roots, enterprise architectural foresight, and innovation leadership to build data systems that are not just scalable, but "future-proof."
Key Responsibilities1. Strategic Architecture & Migration
Legacy-to-Modern
Roadmap:
Design and execute the multi-year strategy to migrate from legacy RDBMS and mainframes to modern Data Lake houses and Data Meshes.
Data Plane Evolution:
Define the "Modern Data Plane" architecture, ensuring seamless integration between storage (S3/ADLS/GCS), compute (Spark/Snowflake/Databricks), and consumption layers.
Hybrid Cloud Strategy:
Architect robust patterns for data movement across hybrid and multi-cloud environments, ensuring minimal downtime and zero data loss.
Pattern Development:
Create reusable "Blueprints" for ELT/ETL pipelines, Change Data Capture (CDC), and real-time streaming architectures using Kafka or Redpanda.
Performance Engineering:
Optimize cloud spend and query performance by implementing advanced indexing, partitioning, and caching strategies.
Automated Governance:
Architect "Security-as-Code" within the data plane, integrating PII redaction, data masking, and RBAC directly into the automated deployment pipelines.
AI/ML Readiness:
Architect data planes specifically optimized for Generative AI and LLM workloads (e.g., Vector Databases, Feature Stores).
Self-Service Innovation:
Design and lead the implementation of a Data Catalog and self-service portal to empower data scientists and analysts.
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