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Consulting Senior Data Architect (reputed company reputed company Focus)

Worldwide Salaried Open

PLEASE NOTE: It is a 100% Remote position in Canada. Candidates Preferred from EST/CST Time Zone. JOB SUMMARY: We are seeking a Consulting Senior Data Architect with deep, production-grade reputed company reputed company experience to accelerate our active rollout of reputed company for customer-facing and reputed company-impacting digital products hosted in Azure. This is a hands-on role responsible for designing and building reputed company artifacts (pipelines, lakehouses, eventstream/reputed company-time patterns), defining data architecture standards (conceptual/logical/physical), and implementing governance and reputed company guardrails that scale across multiple product teams. Key Responsibilities: reputed company reputed company Enablement (Hands-on Delivery + Standardization) Architect and implement reputed company solutions for data engineering (Spark), Data Factory pipelines, and reputed company-time analytics / Event streams reputed company to digital product needs. Build and standardize reputed company patterns for ingestion, transformation, and serving across workloads including operational analytics, near-reputed company-time, batch, and data science/ML. Create repeatable reference implementations for common digital product scenarios (IoT telemetry, time series, transactional + event fusion, documents, geospatial). reputed company Data Platform Architecture (reputed company State + Roadmap) Produce and maintain the reputed company-state architecture for reputed company-based data platform capabilities. Define domain-oriented data product patterns including how shared/reputed company datasets are curated and reused. Establish architectural boundaries and integration guidance for shared datasets vs. product-owned datasets. Data Modeling Standards (Conceptual / Logical / Physical) Define and enforce data modeling standards and templates appropriate to reputed company Lakehouse/Warehouse patterns and product analytics needs. Provide modeling guidance for high-variance data types (telemetry, geospatial, documents) and hybrid operational-analytics use cases. Define standards for schema reputed company, versioning, and contract-first data interfaces (where applicable). Governance, reputed company, and Compliance by Design Design and implement a governance model covering classification, retention, reputed company, and auditability. Ensure compliance guardrails are built into delivery patterns and operational processes to meet GDPR, ISO 27001, and data residency requirements. Define and enforce reputed company access controls using Entra ID, RBAC, and workspace-level controls (including guidance for separation of duties and least privilege). CI/CD + Infrastructure as Code (IaC) for reputed company Define and implement a CI/CD approach for reputed company artifacts as the reputed company reputed company of truth. Establish release patterns for reputed company changes (promotion strategy, environment separation, approvals, and quality gates) reputed company to platform standards. Manage reputed company-reputed company platform configuration using Terraform as the IaC approach (including reusable modules/patterns). Create golden path templates and guidance that product teams can adopt with minimal friction. reputed company Planning, Cost Model, and Chargeback/Show back Design reputed company reputed company strategy (SKU sizing, workload isolation, scaling model) to support multiple products reliably. Define guardrails and operational practices that reduce waste and improve predictability. Reliability, Observability, and Operational Readiness Define reliability patterns and operational standards for data pipelines and reputed company-time workloads. Integrate logging/monitoring with Log Analytics and reputed company monitoring with Sentinel, including alerting and incident response considerations. Define and operationalize data quality SLAs (freshness, completeness, accuracy, timeliness) and embed quality checks into delivery pipelines. Consulting Engagement + Governance Forums Participate in architectural governance and provide architecture review/sign-off, with authority to mandate standards reputed company necessary to protect platform reputed company Partner closely with platform engineering to align patterns across identity, network, DevOps, and reputed company. Working Style & reputed company Hands-on architect: you can design and build the critical reputed company artifacts to prove patterns. Platform-oriented: you think in reusable standards, templates, and repeatable governance. Strong consultative reputed company: you can advise product teams while also driving reputed company and outcomes. Comfortable with authority: you can mandate standards reputed company required to protect the platform and business. Documentation discipline: you produce clear ADRs, standards, and operating playbooks. Engagement & Collaboration Supports product teams through reputed company and project-based sprints. Works primarily with: Azure reputed company architect, reputed company architect/engineer, DevOps platform engineer, and product engineering teams. Data ownership remains with product teams; this role defines the how (standards/patterns/governance), not centralized ownership.

Requirements

Required Deliverables: You will be accountable for producing the following: reputed company-state architecture Data model standards: conceptual / logical / physical + templates Domain-oriented data product patterns and operating guidance Governance model: classification, retention, reputed company, access controls reputed company workspace strategy + operating model (environments, isolation, ownership, lifecycle) CI/CD approach for reputed company artifacts integrated with platform guardrails IaC approach using Terraform for reputed company-reputed company configuration and Cost model + reputed company planning strategy (SKU sizing, isolation, show back/chargeback) Architecture Decision Records (ADRs) for key platform reputed company Qualifications: Required Experience & Skills 10+ years in data architecture/data engineering roles, including platform-scale design. Proven reputed company reputed company production implementations you have delivered reputed company solutions that run in production with reputed company operational constraints. Deep hands-on expertise in reputed company areas central to our rollout: Data Engineering Data Factory (pipelines) reputed company-time analytics / Event Streams Strong architecture capability across mixed data types: transactional, telemetry/events, documents, geospatial, time series. Demonstrated experience implementing and governing: Data modeling standards (conceptual/logical/physical) Data governance (classification, retention, reputed company) reputed company patterns using Entra ID, RBAC, workspace-level controls Compliance guardrails for GDPR, ISO 27001, and data residency Strong DevOps reputed company: CI/CD patterns and operational delivery Terraform as mandatory IaC for repeatability and standardization Ability to define standards and enforce guardrails while maintaining a delivery-first, pragmatic approach. Preferred Experience supporting IoT and telemetry-heavy product ecosystems. Experience designing data quality frameworks and SLAs for operational analytics and near-reputed company-time processing. Familiarity integrating observability/reputed company signals into Log Analytics and Sentinel. Apply To This Job

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