Design and own the end‑to‑end medallion data architecture within Microsoft Fabric, including Bronze/Silver/Gold standards, modeling patterns, and governance frameworks.
Define and drive architectural standards, patterns, and best practices across ingestion, transformation, data modeling, lineage, quality, and orchestration.
Partner as a peer with the Director of Data & Analytics to shape long-term platform strategy, roadmap, and technical decision-making.
Anticipate downstream implications of architectural choices, proactively guiding decisions that ensure long-term reliability, scalability, and maintainability.
Architect and build highly available, distributed, fault‑tolerant data pipelines supporting batch and real‑time workloads.
Lead the migration and integration of multiple disparate data sources into the new Fabric-based enterprise platform.
Define data modeling approaches for enterprise‑scale structured, semi‑structured, and unstructured datasets.
Establish end‑to‑end standards for ingestion → processing → serving layers.
Tune and optimize distributed processing across large datasets and high-volume pipelines.
Develop complex transformations and scalable pipelines using SQL, Python, dbt, and Fabric-native tools.
Implement automation across the Fabric ecosystem leveraging REST APIs, Data Factory, pipelines, and workflow orchestration.
Guide and mentor engineering teams on advanced data architecture concepts, distributed systems, metadata management, and platform hygiene.
Conduct root cause analysis on platform issues, driving permanent solutions rather than short-term fixes.
Act as a senior technical authority in design reviews, architectural discussions, and cross‑functional planning.
Collaborate with analytics, product, and business stakeholders to understand requirements and translate them into architectural solutions.
Communicate complex technical concepts clearly to both technical and non‑technical audiences.

Requirements

8+ years of experience in data engineering, data architecture, or platform engineering.
Experience building or migrating enterprise data platforms on Microsoft Fabric.
Deep expertise with SQL, Python, and distributed data processing.
Significant experience designing enterprise data architectures and medallion/lakehouse patterns.
Strong knowledge of modern data platforms — Databricks, Azure Synapse, Microsoft Fabric, Delta Lake, or similar.
Hands-on experience with cloud-native data engineering (Fabric preferred).
Expertise building and optimizing large‑scale ETL/ELT pipelines across raw → refined → curated zones.
Experience with automation and integration using REST APIs.
Strong analytical thinking, system design skills, and the ability to foresee downstream technical consequences.
Excellent communication skills and ability to engage as a peer with senior leadership.
Upper-Intermediate English skills.

Benefits

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Applicant Tracking System Keywords

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Hard Skills & Tools

data architecturedata modelingSQLPythondbtdata pipelinesETLELTREST APIscloud-native data engineering

Soft Skills

analytical thinkingsystem designcommunicationmentoringcollaborationleadership