Milestone Technologies - Senior Data Analyst Engineer

Company Overview

Milestone Technologies is a global IT managed services firm that partners with organizations to scale their technology, infrastructure and services to drive specific business outcomes such as digital transformation, innovation, and operational agility.

Milestone is focused on building an employee-first, performance-based culture and for over 25 years, we have a demonstrated history of supporting category-defining enterprise clients that are growing ahead of the market.

The company specializes in providing solutions across Application Services and Consulting, Digital Product Engineering, Digital Workplace Services, Private Cloud Services, AI/Automation, and ServiceNow.

Milestone culture is built to provide a collaborative, inclusive environment that supports employees and empowers them to reach their full potential.

Our seasoned professionals deliver services based on Milestones best practices and service delivery framework.

By leveraging our vast knowledge base to execute initiatives, we deliver both short-term and long-term value to our clients and apply continuous service improvement to deliver transformational benefits to IT.

With Intelligent Automation, Milestone helps businesses further accelerate their IT transformation.

The result is a sharper focus on business objectives and a dramatic improvement in employee productivity.

Through our key technology partnerships and our people-first approach, Milestone continues to deliver industry-leading innovation to our clients.

With more than 3,000 employees serving over 200 companies worldwide, we are following our mission of revolutionizing the way IT is deployed.

Role Summary

We are seeking a Senior Data Analyst / Engineer with strong experience in manufacturing control systems data, data authentication, and readiness engineering.

This role will ensure data ingested from manufacturing systems into Clients data lake and downstream applications (e.g., PI) is fit-for-purpose, reliable, and trustworthy.

The successful candidate will work directly with manufacturing system owners, the CDL data lake team, and business stakeholders to resolve data integrity issues surfaced during the Trailblazer deployment.

Key Responsibilities

• Analyze, validate, and authenticate data sets from manufacturing systems (SCADA, PLC, control systems).
• Identify gaps, missing values, and integrity issues in structured and semi-structured data.
• Implement data readiness and authentication protocols to ensure fit-for-purpose ingestion.
• Develop automation scripts, pipelines, and data preparation workflows to streamline readiness processes.
• Collaborate with CDL ingestion teams to fix and enrich data before and after ingestion into the CDL.
• Work with stakeholders to define data requirements per application, e.g., PI datasets.
• Provide technical support to parallel Trailblazer rollouts across multiple manufacturing sites.
• Create and maintain documentation for data readiness processes, authentication standards, and audit protocols.
• Contribute to building audit controls and monitoring frameworks for ongoing data integrity.
  
  

• 6- 10 years experience as a Data Analyst / Engineer in manufacturing or industrial data environments.
• Strong understanding of SCADA, PLC, and manufacturing control systems data.
• Experience with data lakes (Azure/AWS/GCP) and relational database systems.
• Hands-on experience in data authentication, cleansing, validation, and readiness engineering.
• Proficiency in SQL, Python, or equivalent scripting for data processing/automation.
• Familiarity with PI (OSIsoft / Aveva) or other manufacturing data historians (trainable by Deen).
• Strong problem-solving skills for working with ambiguous or incomplete data sets.
• Ability to collaborate with both technical and functional (system owners, BSA) stakeholders.
• Excellent communication skills to bridge system data owners and engineering teams.
  
  

• Prior experience with data process automation in manufacturing systems.
• Exposure to audit/compliance controls in pharma or life sciences manufacturing.
• Working knowledge of data visualization and reporting tools.
• Familiarity with Agile/PI planning environments.