Senior Reliability Engineer - Data & Cloud - (PowerBI and ADF exp required)
Company: Accellor
Location: Chicago
Posted on: February 16, 2026
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Job Description:
Job Description Job Description Accellor is an AI-first digital
transformation partner built for the next generation of enterprise.
We help global organizations turn cloud, data, and AI into real,
measurable business outcomes at scale. At Accellor, people come
first . You’ll be trusted, empowered, and challenged to solve
meaningful problems, collaborate with exceptional teams, and
continuously grow your skills while building solutions that matter.
Trusted by Fortune 100 companies and global innovators, we work
across industries delivering AI solutions, data platforms, and
product engineering using modern, scalable technologies. If you
want your work to create real impact and shape the future of
enterprise , Accellor is where it happens. Senior Reliability
Engineer – Data & Cloud Position Overview We are seeking a Senior
Reliability Engineer to support and enhance the reliability,
performance, and stability of our retail data and cloud platforms.
This role will work closely with Data Engineering, Analytics, and
Retail Operations teams to ensure that store, inventory, and supply
chain are accurate, reliable, and available in real time. You will
play a key role in monitoring and maintaining Azure-based data
pipelines, optimizing Fabric Lakehouse workloads, and improving
automation across our retail technology ecosystem. Key
Responsibilities: Support the reliability, performance, and uptime
of data pipelines that power retail operations (POS data, supply
chain feeds, inventory updates, etc.). Monitor production workloads
using Azure Monitor, Log Analytics, and custom dashboards. Respond
to incidents, troubleshoot failures, perform root-cause analysis,
and implement prevention measures. Optimize ETL/ELT workflows using
Azure Data Factory (ADF) for retail datasets. Automate system/Power
BI integrations (e.g., POS, ERP, loyalty systems) using Azure Logic
Apps. Implement quality checks, data validations, and alerting to
ensure data freshness and accuracy. Write and optimize SQL queries
and stored procedures supporting operational data stores. Work with
Azure services including Storage Accounts, Key Vault, Azure
Functions, Event Grid, and App Insights. Support CI/CD pipelines
for data integration and Fabric workloads (Azure DevOps). Develop
and maintain Fabric Lakehouse pipelines to support reporting,
forecasting, and analytics. Use Fabric Notebooks and PySpark for
data transformations, batch processing, and scaling large retail
data workloads. Collaborate with BI teams to ensure data is ready
and reliable for dashboards and real-time insights. Identify
opportunities to automate manual processes and improve reliability
across retail systems. Requirements 7 years of experience in
Reliability Engineering, Data Engineering, Cloud Engineering, or
similar roles. Strong hands-on experience with: SQL (debugging,
tuning, modeling) Azure Data Factory (ADF) Azure Logic Apps
Microsoft Azure services (Storage, Functions, Key Vault, Monitor)
Solid understanding of monitoring, observability, and incident
management. Strong analytical, problem-solving, and communication
skills. Ability to work in fast-paced environments with frequent
data updates (common in retail). Preferred Qualifications
Experience in the retail industry (POS systems, inventory, supply
chain, merchandising, or loyalty data). Familiarity with Power BI
or other visualization tools. Experience with Git, Azure DevOps,
and CI/CD workflows. Practical experience with Microsoft Fabric,
such as working with Lakehouse, Pipelines, or Dataflows through
Notebooks and PySpark
Keywords: Accellor, Carol Stream , Senior Reliability Engineer - Data & Cloud - (PowerBI and ADF exp required), IT / Software / Systems , Chicago, Illinois
