Senior Data Engineer optimizing data models and data pipelines for Aroundhome. Collaborating across teams to enhance the data platform for effective decision - making.
PM
Hybrid Senior Full-Stack BI Architect / Fabric Data Engineer
Posted 2 hours ago
About the role
- Senior Full-Stack BI Architect designing and implementing domain-driven data solutions for Proactive Technology Management. Leveraging expertise in data modeling and cloud technologies to provide actionable business insights.
Responsibilities
- Lead the design and implementation of ETL/ELT pipelines within a medallion architecture (Bronze, Silver, and Gold layers) to ensure data quality, scalability, and accessibility across use cases.
- Architect and develop advanced data models that reflect domain-driven design principles, aligning with business domains and using ubiquitous language to ensure clarity and usability for all stakeholders.
- Design and implement star and snowflake schemas, along with medallion schema practices, to provide flexible, high-performance data structures for analytics.
- Create dynamic, user-centric dashboards and advanced reports in Power BI, empowering stakeholders with real-time insights and actionable metrics.
- Leverage DAX and Power Query M to craft sophisticated calculations and transformations that enhance data usability and business relevance.
- Build and optimize SQL-based solutions for database management, queries, and data integration, ensuring efficiency and scalability.
- Use Spark Python for processing large datasets and performing advanced analytics to meet complex business requirements.
- Collaborate with business leaders and cross-functional teams to understand data needs, define key performance indicators (KPIs), and ensure alignment with organizational goals.
- Stay informed on advancements in data engineering, business intelligence, and analytics, continuously driving innovation and improvement.
- Mentor team members to build organizational capacity in BI and data engineering best practices.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field; advanced certifications in data engineering or BI are a plus.
- 7+ years of experience in data engineering, BI architecture, or a related role, with a focus on enterprise-grade solutions.
- In-depth expertise in medallion architecture, data modeling (star schemas, snowflake schemas), and best practices for data warehousing.
- Proven ability to implement domain-driven design (DDD) principles, ensuring data solutions reflect business domains and are accessible through ubiquitous language.
- Expert-level proficiency in Power BI, DAX, Power Query M, and SQL, with demonstrated success delivering scalable, impactful BI solutions.
- Strong programming skills with Spark Python for advanced data processing and analytics.
- Experience with the Microsoft Cloud Data Stack (Azure Data Factory, Azure Synapse Analytics, Microsoft Fabric) and other cloud technologies.
- A track record of translating complex datasets into intuitive insights, creating value for both technical and non-technical stakeholders.
- Exceptional problem-solving skills, attention to detail, and ability to thrive in a fast-paced, dynamic environment.
- Strong communication and leadership skills, with a focus on collaboration and stakeholder engagement.
Benefits
- Competitive compensation tailored to senior-level expertise.
- Opportunities to shape data strategy and lead transformative BI projects.
- Ongoing professional development through advanced training and certifications.
- A supportive, innovative culture that values diversity, inclusion, and creativity.
- Flexible remote work arrangements to support work-life balance.
- Comprehensive health, dental, and vision insurance.
- 401(k) retirement plan with company match
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