Job
Description
You'll Get To: Provide technical expertise and leadership in technology direction, road-mapping, architecture definition, design, development, and delivery of enterprise-class solutions while adhering to timelines, coding standards, requirements, and quality. Architect, design, develop, test, troubleshoot, debug, optimize, scale, perform the capacity planning, deploy, maintain, and improve software applications, driving the delivery of high-quality value and features to Blacklines customers. Work collaboratively across the company to design, communicate and further assist with adoption of best practices in architecture and implementation. Deliver robust architectural solutions for complex design problems. Implement, refine, and enforce data engineering best practices to ensure that delivered features meet performance, security, and maintainability expectations. Research, test, benchmark, and evaluate new tools and technologies, and recommend ways to implement them in data platform. Identify and create solutions that are likely to contribute to the development of new company concepts while keeping in mind the business strategy, short- and long-term roadmap, and architectural considerations to support them in a highly scalable and easy extensible manner. Actively participate in research, development, support, management, and other company initiatives designing solutions to optimally address current and future business requirements and infrastructure plans. Inspire a forward-thinking team of developers, acting as an agent of change and evangelist for a quality-first culture within the organization. Mentor and coach key technical staff and guide them to solutions on complex design issues. Act as a conduit for questions and information flow when those outside of Engineering have ideas for new technology applications. Speak in terms relevant to audience, translating technical concepts into non-technical language and vice versa. Facilitate consensus building while striving for win/win scenarios and elicit value-add contributions from all team members in group settings. Maintain a strong sense of business value and return on investment in planning, design, and communication. Proactively identify issues, bottlenecks, gaps, or other areas of concern or opportunity and work to either directly affect change, or advocate for that change by working with peers and leadership to build consensus and act. Perform critical maintenance, deployment, and release support activities, including occasional off-hours support. What You'll Bring: Bachelor's or Master's degree in Computer Science, Data Science, or a related field. 10+ years as a data engineer. 10+ years of experience using RDBMS, SQL, NoSQL, Python, Java, or other programming languages is a plus. You'll Get To: 10+ years of experience designing, developing, testing, and implementing Extract, Transform and Load (ELT/ETL) solutions using enterprise ELT/ETL tools and Open source. 5+ years working experience with SQL and familiarity with Snowflake data warehouse, strong working knowledge in stored procedures, CTEs, and UDFs, RBAC Knowledge of data integration and data quality best practices Familiarity with data security and privacy regulations. Experience in working in a startup-type environment, good team player, and can work independently with minimal supervision Experience with cloud-native architecture and data solutions. Strong working knowledge in data modeling, data partitioning, and query optimization Demonstrated knowledge of development processes and agile methodologies. Strong analytical and interpersonal skills, comfortable presenting complex ideas in simple terms. Proficient in managing large volumes of data. Strong analytical and interpersonal skills, comfortable presenting complex ideas in simple terms. Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams. Experience in providing technical support and troubleshooting for data-related issues. Expertise with at least one cloud environment and building cloud native data services. Prior experience driving data governance, quality, security initiatives.
