The Customer Lobby platform (CLP) integrates with over 150+ invoicing systems and processes on average 1.65M of transaction and other customer data daily for our clients. We have ambitions to build an integrated customer data strategy and management program while exponentially increasing the number of systems we integrate with and entities extracted; Using that data to improve our existing algorithms and power new algorithms, segments and marketing channels to deliver additional value to our customers and accelerate our growth.
We’re looking for an experienced, analytical D ata Engineer to help build a holistic view of all customer and industry data using technologies including Python . This engineer will help with data acquisition, data integration, dataset creation, and how we make the data available for our clients and internal stakeholders across Marketing, Sales, Support and Ops teams. This program will require extensive engineering and business coordination to be successful.
The right candidate brings world-class business understanding on the value of connecting all customer data along with the technical aptitude required to manage high volume transactional data sets. This candidate will have experience integrating and applying customer data for marketing segmentation, targeting, and personalization.
This engineer will drive the technical implementation of Customer Lobby’s own customer data platform and partner closely with the Product team to inform the future roadmap. This involves organizing the data streams to be integrated into the Platform, designing and managing the identity resolution rules for each contact and account, defining and managing the attributes for each customer record, and creating analytical datasets that will empower segmentation and personalization across channels.
At Customer Lobby, an EverCommerce company, we provide the leading automated customer communication SaaS product focused on small businesses. Our automated retention & marketing software analyzes our clients’ data, uses artificial intelligence to predict customers who will need service soon, and reaches out to their customers with personalized postcards and emails. We are seeing explosive success in a market that technology has often left behind, and feel proud to be helping services businesses grow.
Build data pipelines to deliver a single view of our clients’ customers and prospects that includes their identities, key attributes (direct and computed), a record of all interactions, and campaign recommendations for our clients.
Participate in/drive the data architecture, integration, and implementation of third party systems. Align product teams, technical teams, and business teams on a common roadmap and integration program.
Be an expert in engineering data platforms, data model and data engineering to build a best in class data platform.
Develop solutions for data acquisition
Develop dataset processes for data modeling, mining, and production
Drive the collection of new data and refinement of existing data sources
Recommend ways to improve data reliability, efficiency, and quality
Define the data connectors for data ingestion, modeling, and metadata-based extensibility for the customer data platform.
Develop, construct, test and maintain architectures and processing workflows
Work with multiple stakeholder teams across the business, clients and third party systems to understand the needs and build data products.
Lead a team culture of critical thinking, creativity, innovation, experimentation, diversity, and inclusivity that aligns with Customer Lobby's core values and enriches the impact, careers, and learning opportunities of all employees and clients.
Be a trusted advisor to the product and engineering teams and help influence the product roadmap.
Experience with customer data platforms (CDPs) and data management platforms (DMPs).
Strong data engineering background - experience with data warehousing and big data technologies required. AWS platform experience is a huge plus.
Expert knowledge of data modeling techniques and high-volume ETL/ELT design.
Strong SQL optimization and performance tuning experience in a high volume data environment that utilizes parallel processing. AWS experience is a plus.
Experience with scripting languages like Python,
Experience with AI and Machine Learning preferred but not required
Experience implementing MarTech tools for B2B such as reporting, ABM, data/CDP, attribution.
Experience working with large datasets, data pipelines, and a strong understanding of segmentation best practices.
Strong understanding of personalization technologies.
You have a passion for MarTech Solutions and want to bring enterprise grade capabilities to small and medium businesses.
Benefits & Perks:
401K with Company match
17 days off, 2 floating holidays and 8 standard holidays, plus a day off to volunteer each year
Monthly company paid activities (i.e. happy hour, parties, etc.)
Free catered lunch every Friday (when the office is open)
Kitchen stocked with snacks and drinks
Prime location in downtown Oakland, at City Center (12th St. Bart station)
Please note that our team is working remotely through at least June 2021.
EverCommerce is an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We look forward to reviewing your credentials and getting to know more about your experience!