Senior Data Solutions Architect
3 days ago
About Ascendion
">As a cutting-edge digital engineering solutions company, we deliver world-class software platforms and products that drive growth and create captivating experiences for our clients.
">We accelerate transformation and impact for enterprise clients through our expertise in data, cloud, experience design, and talent solutions.
">With a workforce of 7,000+ engineers globally, we're headquartered in New Jersey and continuously push boundaries to engineer the next.
">Culture at Ascendion
">We foster a culture built on opportunity, inclusion, and partnership. Our diverse team shares ideas, learning, experiences, successes, and joy, empowering everyone to be their best at Ascendion.
">About the Role: Senior Data Solutions Architect
">Job Title: Senior Data Solutions Architect
">Description:
">Responsibilities:
">- Data Engineering Expertise: Develop and maintain robust, high-performance ETL/ELT data pipelines with extreme agility to meet business needs.">
- Data Modeling: Design and build foundational analytics data models simplifying analyses across products, driving business insights.">
- Quality Assurance: Implement best practices to ensure high-quality data, including monitoring, alerting, data quality frameworks, and regression methodologies.">
- Automated Solutions: Develop automated processes to reduce manual effort, increasing efficiency and productivity.">
- Deployment: Review and document code changes, orchestrating smooth deployments.">
Requirements:
">Qualifications:
">- Bachelor's degree or higher in computer science, engineering, mathematics, physics, or a related technical discipline.">
- Minimum of 8+ years (6+ years with a Master's) of experience working in a senior data engineering role focused on finance analytics.">
- Strong communication skills, both written and verbal.">
- Proficiency in transactional Python and analytical Python.">
- Advanced SQL ability, including dimensional modeling and data model design.">
- Proficiency in data principles, system architecture, and dimensional data modeling.">
- Experience developing orchestration/scheduling jobs, preferably Airflow.">
- Experience with cloud platforms, preferably AWS, and Spark.">
- Previous hands-on professional experience working with finance metrics, data, and systems.">
- Experience with dbt is preferred.">
Compensation:
">We offer an estimated salary range $140,000 - $200,000 per year.
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