LivePerson (NASDAQ: LPSN) is a global leader in trustworthy and equal AI for business. Hundreds of the world's leading brands — including HSBC, Chipotle, and Virgin Media — use our Conversational Cloud platform to engage with millions of consumers safely and responsibly. We power a billion conversational interactions every month, providing a uniquely rich data set and safety tools to unlock the power of Generative AI and Large Language Models for better business outcomes.
At LivePerson, we foster an inclusive workplace culture that encourages meaningful connection, collaboration, and innovation. Every mind is invited to ask questions and actively seek new ways to achieve success and reach their full potential. We operate as one with a growth mindset. This means spotting opportunities, solving ambiguities and seeking effective solutions to challenges that make things better.
Overview:
You will report to the Director of DMD. You are expected to work in a staggered shift to provide overlap of at least 4 hours with the US EST time zone.
We are seeking a highly skilled Sr Data Engineer to join our team, specializing in organization-wide data architecture and robust data governance and best practices implementation across all dashboards and reporting within our organization's diverse business units. The successful candidate will manage, scale, and optimize the platform that powers business intelligence reports, data science models, and key business metrics. This role is critical in ensuring that data is accessible, reliable, and actionable, enabling decision-making across the entire organization.
You will thrive here if:
- You can operate in a fast paced, dynamic environment
- You are an expert on Qualitative and Quantitative data analysis
- You have mastered the art of data modeling for reporting architecture
- You believe data-led decision making is the norm
- You see feedback or failure as motivation to learn and to grow
- You relate to our core principles and want to work with experts in their respective fields
Working as part of the Data, Models, and Decisions (DMD) team, the successful candidate has an opportunity to join an innovative data science and engineering team that’s operationalizing data across the organization. We see model-driven processes and workflows as a means to reduce uncertainty, reveal opportunity, and generate operational leverage that collectively create a new dimension of competitive advantage and lay the foundation for new revenue streams.
In this role you will:
- Reliable Data Pipelines: Create and maintain optimal data pipeline architecture. Assemble large, complex data sets that meet a broad range of business requirements. Identify, design, and implement internal process improvements, including automating manual processes, optimizing data flows, and re-designing infrastructure for greater scalability.
- Data Modeling and Architecture: Utilize advanced data modeling techniques (DBT preferred) to integrate complex and disparate data sources into cohesive data models, ensuring accuracy, efficiency, and scalability.
- Best Practices Advocacy: Champion best practices for data pipelines, data catalog, dta quality and data analysis methodologies, ensuring adherence to industry standards and organizational guidelines.
- Technical Expertise: Serve as a subject matter expert in Data Lake and Data Warehouse, providing guidance, training, and support to analytics and reporting teams.
- Data Analysis and Insights: Conduct in-depth analysis of business data to uncover insights, trends, and opportunities, translating findings into actionable recommendations for business improvement and strategic decision-making.
- Collaborative Partnerships: Collaborate cross-functionally with data engineers, data scientists and other stakeholders to streamline data integration processes, resolve data quality issues, and drive continuous improvement in reporting capabilities.
Your qualifications are:
- 5+ years of experience in a Data Engineer role working with Data Pipelines, databases, SQL, ETL, Airflow, Kubernetes
- 3+ years of experience in Core Python and Exploratory Data Analysis using Python
- 3+ years of experience in Advanced SQL
- 3+ years of experience in public cloud (AWS or Similar)
- Bachelor’s degree in Computer Science, Statistics, or another quantitative field.
- Experience in performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
- Strong analytical skills related to working with unstructured or “dirty” datasets.
- Experience building processes supporting data transformation, data structures, metadata dependency, and workload management.
- Demonstrated ability to work closely with teammates in a highly collaborative environment and simultaneously be a self-starter with strong individual contributions
- Excellent communication and presentation skills
Why you’ll love working here:
LivePerson was named to FastCompany’s World’s most innovative companies of 2020 list for the Artificial Intelligence category. We offer amazing colleagues along with opportunities to push your own limits to grow. We embrace invention and experimentation. You’ll have great benefits plus flexible time off and free lunch on Fridays. Most importantly, you’ll have an ability to make an impact at work and at brands across the globe as we build the future with trusted Conversational AI together.
At LivePerson, people from diverse backgrounds come together to do their best work and be their authentic selves. We are proud to be an equal opportunity employer.
All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
