SunnyData was looking for a Data Solutions Architect (Financial Services)

**The Potential Impact** • **Customer Engagement:** Function as a strategic consultant for clients, navigating their data engineering and architectural requirements with emphasis on Databricks solutions. Role involves balanced allocation between billable work and pre-sales activities. • **Technical Leadership:** Construct, implement, and deploy comprehensive data infrastructures that capture, manipulate, and utilize data to support artificial intelligence, machine learning, and business intelligence initiatives. • **Pre-Sales Support:** Partner with sales teams to showcase technical strategies for prospective clients, illustrating SunnyData's distinctive value propositions. • **Project Management:** Oversee multiple customer accounts, ensuring punctual solution delivery and tracking progress for outcome reporting. • **Solution Architecture:** Develop data strategies, integrating optimal practices in data governance, security, and quality assurance. • **Data Evaluation:** Assess data sources for strategic value, proposing data integration methodologies to enhance analytical capabilities. • **Cross-Functional Collaboration:** Direct internal teams, provide strategic guidance, mentor project groups to deliver solutions and educate end-users on data products and analytical environments. • **Technical Troubleshooting:** Conduct system diagnostics, evaluate and resolve data and system anomalies, and implement appropriate corrective measures. • **Quality Control:** Validate data migration, transformation code, and data components to guarantee precision and dependability. **Required Professional Background** • **Professional Experience:** 7+ years as hands-on Solutions Architect and/or Senior Data Engineer designing and implementing contemporary data solutions emphasizing Databricks. • **Technical Expertise:** Mastery in Data Engineering technologies, Databricks platform, and data science/machine learning technologies. • **Architectural Leadership:** Comprehensive understanding of end-to-end data analytics workflow; capability to lead complex architectural requirements and develop implementable blueprints. • **Programming Capabilities:** Advanced proficiency in Java, Python, and/or Scala. • **Cloud Platform Knowledge:** AWS, Azure, and/or GCP competencies. • **Database Skills:** Sophisticated ability to write, diagnose, and optimize SQL queries. • **Communication Abilities:** Exceptional written and verbal communication with substantial client-facing experience. • **Presentation Skills:** Capacity to develop and deliver comprehensive presentations to clients and stakeholders. • **Documentation Expertise:** Proven experience creating detailed solution documentation. • **Team Leadership:** Demonstrated history of leading engineering teams and mentoring professionals. • **Solution Development:** Capability to transform technical solutions into production environments ensuring performance, security, and scalability. **Preferred Qualifications** • **Storage Systems:** Understanding of distributed and cloud storage platforms. • **Integration Technologies:** Experience with advanced data integration tools. • **Development Lifecycle:** Comprehensive software development process knowledge. • **Pipeline Automation:** Expertise in automated data transformation techniques. • **Workflow Management:** Proficiency with orchestration platforms. • **Industry Background:** Preferential consideration for financial services experience. • **Compliance Understanding:** Regulatory landscape comprehension. • **Professional Certifications:** Minimum two relevant technical certifications. **Educational Requirements** • **Academic Credentials:** Four-year Bachelor's degree in Computer Science or related discipline. **Organizational Benefits** • **Healthcare Coverage:** Comprehensive insurance for employees and eligible family members. • **Paid Leave:** Minimum 15 annual leave days plus nine company holidays. • Professional growth opportunity in innovative, customer-centric environment. **Compensation Framework** Nationwide salary range determined by role complexity, candidate expertise, and employment conditions. Performance-based incentive opportunities available. **Diversity Commitment** Inclusive hiring philosophy embracing diversity across multiple dimensions, ensuring equal employment opportunities regardless of personal characteristics. **Organizational Value Proposition** • Innovative technological environment • Meaningful customer impact • Professional development pathways • Collaborative, supportive culture Passionate data engineering professionals committed to solving complex challenges are encouraged to apply and contribute to organizational success.