Senior Data Engineer

LivePerson (NASDAQ: LPSN) is the global leader in enterprise conversations. Hundreds of the world’s leading brands — including HSBC, Chipotle, and Virgin Media — use our award-winning Conversational Cloud platform to connect with millions of consumers. We power nearly a billion conversational interactions every month, providing a uniquely rich data set and safety tools to unlock the power of Conversational AI for better customer experiences.

At LivePerson, we foster an inclusive workplace culture that encourages meaningful connection, collaboration, and innovation. Everyone is invited to ask questions, actively seek new ways to achieve success and reach their full potential. We are continually looking for ways to improve our products and make things better. This means spotting opportunities, solving ambiguities, and seeking effective solutions to the problems our customers care about.

Overview:

We are seeking a highly skilled Database Administrator / Data Engineer to join our team. As a Data Engineer, you will play a key role in designing, building, and maintaining the infrastructure and systems necessary for the acquisition, storage, and processing of large volumes of data. Your primary focus will be on developing robust data pipelines, data warehouses, and ETL (Extract, Transform, Load) processes to support the organization's data-driven initiatives. You will collaborate with data scientists, analysts, and other stakeholders to understand data requirements and implement scalable solutions that enable efficient data analysis and reporting.

You will:

• Ensure the security and integrity of data stored in databases by implementing access controls, encryption, and other security measures.
• Monitor database performance and proactively identify and address performance issues.
• Troubleshoot and resolve database-related issues, such as performance bottlenecks, data corruption, and connectivity problems.
• Perform database upgrades, patches, and migrations as needed.
• Data Governance Implementation: Lead the development and implementation of data governance frameworks, policies, and procedures in the organization to ensure data quality, consistency, and integrity across all reporting systems.
• 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.
• 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.

You have:

• 6+ years of experience in a Data Engineer role working with Data Pipelines, databases, SQL, ETL, Airflow, Kubernetes.
• 3+ years of experience in Python- a must.
• Experience in Apache Airflow- a must.
• Experience in DBT for data transformation- a must.
• Experience in Snowflake- significant advantage.
• 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.

Benefits:

• Time away: Vacation, public holidays and care days.
• Financial: Pension, deferred pension and ESPP.
• Family: Parental leave.
• Development: Generous tuition reimbursement and access to internal professional development resources.
• Additional: Exclusive perks and discounts.
• #LI-Remote

Why you’ll love working here:

As leaders in enterprise customer conversations, we celebrate diversity, empowering our team to forge impactful conversations globally. LivePerson is a place where uniqueness is embraced, growth is constant, and everyone is empowered to create their own success. And, we're very proud to have earned recognition from Fast Company, Newsweek, and BuiltIn for being a top innovative, beloved, and remote-friendly workplace.

Belonging at LivePerson:

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 with criminal histories, consistent with applicable federal, state, and local law.

We are committed to the accessibility needs of applicants and employees. We provide reasonable accommodations to job applicants with physical or mental disabilities. Applicants with a disability who require reasonable accommodation for any part of the application or hiring process should inform their recruiting contact upon initial connection.