JR-Data Architect

Hello, our name is Customertimes, but you can call us CT. We are a global digital engineering, product development, and technology consulting company. Headquartered in New York, we have a team of 1000+ experts working across 65+ countries.

About this job: We are seeking an architecture-level engineer to serve as a primary designer and developer on our Databricks Platform Modernization initiative. This role spans medallion architecture, greenfield build-out, data quality processes, cross-team UAT enablement, and AI/ML use case delivery.

Location: LATAM (remote)

• Greenfield architecture — medallion architecture (silver/gold), entity relationship model, and data contracts; includes but is not limited to standardization, cleansing, deduplication, and merge logic; ensuring that Databricks best practices and internal Enterprise Architecture processes are followed;
• Environment promotion — dev QA prod promotion lane, including deployment-pipeline enabler work;
• UAT enablement — active fix-it engineer supporting Genie/dashboard UAT test cycles;
• Cross-domain platform contribution —
  commit directly to the shared, reusable Databricks platform template (consumed by multiple domains);
• Release governance —
  operate within a formal, peer-reviewed promotion model where production releases require an approved change ticket, reflecting comfort with enterprise change-control process, not just technical delivery;
• Knowledge transfer —
  provide ongoing knowledge transfer,
  assist teams as they upskill and begin to take over work, and ensure appropriate documentation is available for future onboarding
  ;
• Security-conscious automation design —
  design least-privilege automation (e.g., scoped bot credentials limited to a single target repository, validated with an explicit smoke test) rather than broad-access shortcuts;
• AI/ML platform enablement — partner with Enterprise Architecture and ML teams to design feature pipelines, model-serving architecture, and governance of ML artifacts (models, features, vector indexes);
• GenAI capability evaluation —
  assess and pilot new GenAI/agentic capabilities (e.g., Claude-based tooling, agent frameworks) for data engineering and semantic-layer workflows before wider adoption.

• Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or related field;
• 10+ years of experience in data engineering and data architecture roles;
• 4+ years of hands-on experience with Databricks;
• Experience with the insurance industry (Nice to have);
• Strong knowledge of AWS cloud platforms;
• Exposure to Large Language Models (LLMs), Generative AI concepts, prompt engineering, and AI-assisted development tools.

• Delta Lake medallion architecture (bronze silver gold platinum) and Unity Catalog schema/metric-view design;
• Databricks Asset Bundles for CI/CD-style promotion across dev/QA/prod environments;
• Databricks Jobs orchestration and freshness/volume monitoring design — building alerting tables and configuration from scratch, not just consuming existing ones;
• Data quality framework design — Data Pact contracts and DQX checks;
• AI/BI enablement — Genie space configuration/semantics (including multi-environment automation) and Lakeview dashboard build and defect resolution;
• CI/CD and release engineering — Git Hub Actions-based promotion pipelines (PR - gated dev - QA - prod), Databricks Asset Bundle validation gates, and OIDC-based cloud authentication in place of long-lived secrets;
• Data reconciliation engineering —
  designing formal, machine-checked contracts for data conservation and cross-system parity (e.g., versioned-state recovery, parity-witness scoping) rather than one-off reconciliation scripts;
• AI/ML platform architecture…