JR-214082 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.

We are

an architecture-level

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.

· 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 -

directly to the shared, reusable Databricks platform template (consumed by multiple domains); · Release governance -

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 -

ongoing knowledge transfer,

teams as they upskill and begin to take over work, and

appropriate documentation is available for future

; · Security-conscious automation 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 -

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 -

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

industry

; · 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 - DataPact 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 - GitHub 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 -

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 - designing Unity Catalog-governed feature tables and ML-ready gold/platinum layers, and integrating MLflow experiment tracking and model registry into the platform's existing promotion model; · GenAI/LLM enablement on Databricks - architecting vector search and retrieval-augmented generation (RAG) pipelines, model-serving endpoints, and extending the existing Genie AI/BI semantic layer toward broader GenAI use cases; · AI-assisted engineering practices - using Claude and other AI coding/review tooling as part of the build and review workflow, consistent with platform best practices.

•

; · Ability to work in a global,

company; · Ability to lead conversations with both technical and business representatives; · Proven ability to work both independently and as a part of an international project team. If you're looking to contribute to global projects, grow your skills, shape the way you work, and be part of a connected international community - Customertimes is the place to build your next career chapter. Are you ready to spark the tech with us?

Originally posted on Himalayas