Data Platform Architect

Job Description

Must Have Technical/Functional

Skills:

Data Architecture and Modeling;
Cosmos; PL/SQL; MSBI

• Platform Observability & Reliability Engineering
• Design and implement platform-level observability covering metrics, logging, monitoring, and alerting.
• Establish reliability engineering practices to ensure platform stability, resilience, and operational confidence.
• Define standards for platform health, reliability, and operational readiness.
• Platform CI/CD & Developer Productivity
• Build platform CI/CD frameworks that support standardized, repeatable, and reliable deployments.
• Create developer productivity tooling, templates, and workflows to reduce onboarding friction and improve integration speed for platform consumers.
• Enable self‑service capabilities for teams integrating with the platform.
• Infrastructure Platform Engineering
• Design and engineer shared infrastructure platform capabilities to support scalable and reliable data workloads.
• Establish reusable infrastructure patterns, guardrails, and standards for platform services.
• AI-Driven Platform Automation & Optimization
• Develop and integrate AI‑driven automation to optimize platform operations, performance, and efficiency.
• Identify opportunities to reduce manual intervention through intelligent automation and optimization frameworks.
• Enterprise Data Ingestion Framework
• Design and implement a standardized enterprise data ingestion framework, including support for near‑real‑time (NRT) ingestion patterns.
• Ensure ingestion frameworks are reliable, observable, and reusable across teams and domains.
• Marketing Domain Onboarding & Adoption
• Create and execute a Marketing Domain Onboarding & Adoption Program to improve platform adoption.
• Develop onboarding documentation, enablement assets, and best practices for teams consuming platform capabilities.

• Strong experience in platform engineering, infrastructure engineering, or data platform engineering.
• Proven ability to build foundational platform capabilities from scratch.
• Hands‑on experience with observability, CI/CD, reliability engineering, and automation frameworks.
• Experience designing or supporting enterprise‑scale data ingestion systems, including near‑real‑time pipelines.
• Ability to work effectively in environments with high ambiguity and evolving require men ts.
• Strong hands‑on experience with Microsoft Azure data platforms, including Azure Databricks, Azure Synapse Analytics, and/or Microsoft Fabric
• Experience implementing Dev Ops and CI/CD for data platforms using Azure Dev Ops, Git Hub Actions
• Expertise in platform observability and operational monitoring using Azure Monitor, Application Insights, Log Analytics
• 5+ year of relevant experience.

• Discretionary Annual Incentive.
• Comprehensive Medical Coverage:
  Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
• Family Support:
  Maternal & Parental Leaves.
• Insurance Options:
  Auto & Home Insurance, Identity Theft Protection.
• Convenience & Professional Growth:
  Commuter Benefits & Certification & Training Reimbursement.
• Time Off:
  Vacation, Time Off, Sick Leave & Holidays.
• Legal & Financial Assistance:
  Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
• Salary Range: $64,000 - $108000 a year