Scrum Master/Technical Business Analyst
Job
Insight Global
Alpharetta, GA (In Person)
$114,400 Salary, Full-Time
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Job Description
Job Description We are seeking a hands-on Scrum Master with Technical Business Analyst skills to support a Data Engineering delivery team. This role bridges business requirements, technical delivery, and Agile execution, ensuring high-quality data products are delivered efficiently and aligned to business outcomes. The pay rate for this role ranges based on years of experience between $50-60/hour. Key Responsibilities - Scrum Master
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- Facilitate Agile ceremonies including sprint planning, stand-ups, reviews, and retrospectives.
- Remove impediments and support predictable delivery.
- Coach teams on Agile practices tailored for data engineering.
- Partner with Product Owners on backlog prioritization and refinement. Key Responsibilities - Technical Business Analysis
- Elicit, analyze, and document business and technical requirements for data engineering initiatives.
- Translate requirements into clear user stories, acceptance criteria, and data specifications.
- Support data ingestion, transformation, governance, and analytics requirements.
- Maintain traceability between business outcomes and delivered solutions. Stakeholder & Delivery Management
- Act as a bridge between technical teams and business stakeholders.
- Support delivery planning, dependency management, and reporting.
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Insight Global's Workforce Privacy Policy:
https://insightglobal.com/workforce-privacy-policy/. Skills and Requirements- Hands-on Scrum Master experience.
- Excellent stakeholder communication skills.
- Experience as a Technical Business Analyst on data engineering projects.
- Experience writing technical user stories and acceptance criteria.
- Certified Scrum Master.
- Understanding of ETL/ELT, data platforms, and cloud technologies.
- Experience in regulated environments.
- Familiarity with data governance tools.
- Scrum Master certification (CSM, PSM, SAFe, or equivalent)
- Experience working in financial services or regulated environments
- Knowledge of data governance or metadata tools (e.g. Collibra, Purview)
- Experience supporting large-scale migrations or platform modernization initiatives
- Cloud data platforms Azure
- Data tools such as Databricks, ADF, Synapse, Snowflake, Kafka (or equivalents)
- SQL and data modelling concepts
- Familiarity with CI/CD and DevOps practices for data pipelines
- Comfortable operating in a dual role (delivery facilitation and technical analysis)
- Outcome focused and pragmatic
- Able to work across ambiguity and complex data landscapes
- Collaborative, proactive, and delivery driven
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