Description

Top Must-Haves:

• Azure Data Engineering Expertise – 7+ years building production data solutions on Azure, with strong hands-on experience in Microsoft Fabric plus tools like Azure Data Factory, Synapse, Databricks, or Azure SQL.
• Strong ETL/ELT & Data Architecture Skills – Proven ability to design scalable pipelines and modern data architectures (lakehouse/medallion) supporting structured and unstructured data.
• Advanced Programming & Data Processing – High proficiency in SQL and Python, plus experience with Spark and data processing frameworks (Pandas, PyArrow, etc.).
• CI/CD & Data Platform Engineering – Experience implementing CI/CD pipelines, Git workflows, automated deployments, and environment promotion for data platforms.
• Security & Enterprise Data Controls – Hands-on experience with RBAC, Key Vault, managed identities, and implementing secure, governed data architectures.
• Microsoft Fabric Certifications – DP-700 (required/expected), plus DP-600 or DP-203.

Preferred Skills:

• Performance Optimization & Cost Efficiency – Experience with Delta storage, partitioning, columnstore optimization, and query performance tuning.
• Integration & Hybrid Data Environments – Experience integrating APIs, third-party platforms, and hybrid (on-prem + cloud) systems.
• Analytics & AI Data Enablement – Experience supporting downstream semantic models and partnering with analytics/AI teams.
• High-Scale / Regulated Environments – Background working in enterprise, highly regulated, or large-scale data platforms.
• Leadership & Collaboration – Ability to lead design decisions, mentor junior engineers, and collaborate across technical and business teams in Agile environments.

Job Details:

• Develop and maintain scalable ETL (Extract, Transform, Load) processes to efficiently extract data from diverse sources, transform it as required and load it into data warehouses or analytical systems.
• Design and optimize database architectures and data pipelines to ensure high performance, availability and security while supporting structured and unstructured data.
• Build and maintain robust ETL/ELT pipelines using Fabric Pipelines, Azure Data Factory, and Synapse.
• Implement secure data architectures using Roles-based Access Controls (RBAC), Key Vault, Private Endpoints
• Integrate data from APIs, third-party platforms, and hybrid (on-prem/cloud) systems.
• Develop data workflows using Python, SQL, and Spark, selecting appropriate frameworks based on workload characteristics.
• Drive cost-efficient, low-latency analytics through partition-aligned Delta storage, columnstore-optimized warehouse tables, DirectLake semantic access, and SCD-managed dimensional models, ensuring predicate pushdown, partition elimination, and minimal data movement across the query execution lifecycle.
• Implement secure data architectures using:
  • RBAC and row/column/object-level security (RLS/CLS/OLS)
  • Azure Key Vault, Private Endpoints, Managed Identities.
• Implement CI/CD pipelines for data platforms using Azure DevOps or GitHub
• Establish automated deployment, environment promotion, and testing strategies.
• Support downstream semantic models and reporting layers by delivering well-modeled, performant, and governed data structures (no report/dashboard development responsibilities).
• Partner with analytics and AI teams to deliver trusted, production-ready data products.
• Ensure platform reliability through constraint-driven data validation, fault-tolerant pipeline orchestration, and telemetry-backed observability, enabling anomaly detection, automated alerting, and lineage-driven root cause analysis across distributed data workloads.
• Lead design decisions and influence enterprise data architecture standards
• Collaborate with engineers, analysts, and business stakeholders to translate requirements into scalable solutions.
• Mentor junior engineers and contribute to engineering excellence and knowledge sharing.
• Operate effectively in Agile delivery environments.

Required Qualifications

• 8+ years of experience in data, software, or platform engineering.
• 5+ years building production data solutions on the Microsoft/Azure stack.
• Strong experience with Microsoft Fabric and at least two of:
  • Azure Data Factory, Synapse, Databricks, Azure SQL, Power BI
• Advanced proficiency in SQL and Python (delta-rs, PyArrow, Polars, DuckDB, Pandas, and NumPy).
• Proven experience designing modern data architectures (lakehouse, medallion, etc.).
• Hands-on experience with CI/CD, Git workflows, and environment promotion.
• Experience implementing enterprise security, identity, and access controls.
• Strong troubleshooting, performance tuning, and root cause analysis skills.
• Experience working in regulated or high-scale environments.

Key Skills

Education

Bachelor's degree