About the role We're building secure, scalable, and automated data solutions on Azure — and we're looking for a Data Engineer who can bridge the worlds of data architecture and cloud security. You'll be joining a team that works on complex, high-impact data platforms where engineering rigor and security best practices go hand in hand. This is a fully remote position. What you will do: - Design, plan, and implement secure and scalable data architectures on Azure (on-premise and cloud) - Build and maintain ETL/ELT pipelines using Azure Data Factory, Databricks, and Azure Functions - Develop and optimize data platforms for analytics and decision-making (Data Warehouse / Lakehouse) - Write and maintain data processing code using Python and PySpark - Implement and manage Azure networking and security components (Firewall, VNET, Private Endpoints, NSG/ASG, FrontDoor) - Deploy and manage infrastructure using Terraform or Bicep (IaC) - Set up and maintain CI/CD pipelines via Azure DevOps or GitHub Actions - Lead technical projects or engineering teams, ensuring delivery and quality standards - Collaborate on data governance and security practices across the data platform What you bring: - 3+ years of experience as an analyst or engineer in development, databases, data governance, or data architecture - 3+ years designing and automating data architectures in cloud and on-premise environments - Hands-on experience with the core Azure data stack: Data Factory, Databricks, Azure Functions, and Microsoft Fabric - Strong SQL skills and experience with both relational and non-relational databases - Proficiency in Python and PySpark for data processing - Solid understanding of Azure networking and security (VNET, Firewall, Private Link, NSG/ASG) - Experience with Infrastructure as Code (Terraform or Bicep) and CI/CD pipelines - Proven track record leading teams or technical projects Nice if you have: - Azure Associate or Expert certification - English proficiency at B2 level or above - Experience with Azure Synapse or Microsoft Fabric - Familiarity with Site-to-Site VPN or ExpressRoute for on-prem connectivity - Experience working in complex or regulated environments - Background in data governance and security frameworks - Experience with self-hosted agents in CI/CD pipelines Equal Opportunity Employer: AspenView is proud to be an equal opportunity employer. We believe in creating an environment where all employees feel welcome, valued, and empowered to succeed. We celebrate diversity and strive to build a culture of inclusion where all individuals, regardless of their race, color, gender, gender identity or expression, sexual orientation, disability, age, or any other characteristic, can thrive. We encourage applicants from all walks of life to join our team and make a lasting impact.

• Your primary role will involve designing, constructing, and optimizing our data pipelines to support various data workflows • You will work with both structured and unstructured data, ensuring high data quality and availability for complex analysis by data scientists, engineers, and other stakeholders

• Collaborative Architecture: Partner with the team to provide architectural suggestions and formal proposals for our core data systems. You will help ensure a seamless flow between microservices, our data lake, and downstream analytics. • Modern Pipeline Development: Build and ship production-level data pipelines using PySpark and SQL. You will collaborate on establishing standards for idempotency, monitoring, and performance tuning. • Lakehouse Data Modeling: Implement robust data modeling patterns (Medallion architecture: Bronze/Silver/Gold). You will ensure our Lakehouse is not just a data dump, but a high-performance source of truth for both BI and ML. • Databricks & Lakehouse Evolution: Contribute to the continuous improvement of our Databricks environment, with a focus on Delta Lake optimization and robust governance via Unity Catalog. • Systems Evolution & Stability: Act as the steward of our production environment. You will lead the refactoring of legacy pipelines to improve observability, reduce technical debt, and ensure seamless data flow between our microservices and the Databricks Lakehouse. • Technical Influence: Work closely with the Director of Data to refine our technical roadmap. You will lead by example through deep-dive code reviews and by maintaining a high bar for technical documentation. • Reliability & Governance: Conduct comprehensive audits to identify system inefficiencies. You will share ownership of data quality, security, and privacy across the entire lifecycle of our datasets.

• Work on strategic projects involving migration, integration, automation, and process improvement • Design, implement, and maintain data pipelines connecting OMS/EMS, risk/performance systems, internal platforms, custodians, and administrators • Build data pipelines capable of identifying business opportunities from internal and external data • Build and maintain high-reliability, high-performance ETL/ELT processes • Develop integrations using APIs, SFTP, messaging systems, or proprietary connectors • Document processes, data flows, and technical solutions for future reference, ensuring knowledge is shared and preserved • Collaborate with business analysts to define calculation rules, granularity, data quality standards, and key fields • Identify and implement continuous improvements focused on efficiency, performance, governance, and cost, delivering business value