Senior Power Platform Developer designing and implementing solutions with Microsoft Power Platform at AIM. Focused on delivering scalable business applications, automating workflows, and enhancing operational efficiency.
About the role
- Platform Engineer contributing to data infrastructure and architecture solutions at Kroll. Designing production-grade data pipelines and collaborating with engineers and data scientists.
Responsibilities
- Design and build organizational data infrastructure/architecture
- Partner with business leaders and domain owners to translate strategic priorities into data architecture capabilities
- Provide insights into the changing database/datalake storage and utilization requirements for the company and offer suggestions for solutions
- Establish standards for data platforms, integrations, analytics, and AI enablement
- Analyze database/datalake implementation methods to make sure they are in line with company policies and any external regulations that may apply
- Assist with organizational decisions on data infrastructure and architecture on an ongoing basis and make decisions on data strategy
- Act as a trusted advisor on how data architecture enables revenue, efficiency and risk reduction, and advise leadership on data investment decisions
- Oversee the migration of data from legacy systems to new solutions
- Apply architectural principles, product-specific guidelines, security standards, usability design standards, as appropriate
- Influence decision-making across multiple stakeholders and guide engineering teams in resolving complex technical challenges
- Drive expansion of analytics and AI services by embedding scalable design patterns into every engagement
- Contribute thought leadership, reusable assets, and frameworks to scale across the Data & AI practice
Requirements
- 3+ years of experience in data platform architecture, analytics, or AI/ML
- Experience translating business requirements into technical design documents
- Experience architecting and securing big data solutions
- Experience with Azure
- Experience with Python and SQL
- Understanding of data movement and ETL
- Understanding of data governance and metadata tools
- Excellent communication skills
- Ability to work with an international team
- Experience building data lakes preferred
- Experience building data products preferred
- Team leadership and stakeholder management
- Understanding of Databricks, Docker, Kubernetes, or Azure Functions
- Strategic thinker and strong execution orientation
- Ability to work in cross-functional teams
- Attention to detail and data quality
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