Company Overview
ActiveProspect is a SaaS platform on a mission to make consent-based marketing the most scalable, efficient, and safest method for customer acquisition. Our comprehensive product suite empowers companies across industries to take real-time action on their leads, protect themselves from litigation by documenting proof of consent, and save money by providing new levels of data insights and control.Job SummaryWe are seeking a highly skilled and motivated Senior Data Engineer/Architect to join our team.
In this role, you will design, build, and maintain the data infrastructure surrounding our data warehouse and supporting systems. This role requires a strategic thinker with strong technical skills and the ability to work cross-functionally with data scientists, software engineers, and product managers to ensure seamless data flow, robust data pipelines, and optimized data storage solutions across the entire company. Key Responsibilities:
- Data Pipeline Development:
- Design, develop, and maintain scalable ingress and egress data pipelines across our data platform
- Standardize data ingestion and transformation processes to ensure consistency and efficiency.
- Work closely with data and product teams to understand data requirements
- Data Architecture:
- Act as a leader and advocate for data architecture, promoting best practices and standards across the company
- Design a scalable and efficient data architecture that supports the business needs
- Be an advisor to product engineering teams on an as-needed basis for data architecture decision-making
- Data Observability, Quality & Governance:
- Implement and monitor data quality checks, data governance policies, security policies, and other best practices to ensure data integrity and compliance with industry regulations.
- Create and maintain comprehensive documentation for data pipelines, data models, and data integration processes.
- Optimize and manage our data warehouse to ensure high performance, reliability, and scalability
- Cross-Functional Collaboration:
- Solicit feedback and facilitate buy-in on proposed solutions from stakeholders
- Effectively communicate critical decisions to all stakeholders
- Implement recommended solutions in collaboration with product and engineering teams
Qualifications:Educational Background:
- Bachelor’s or Master’s degree in Computer Science or a related field.
Professional Experience:
- 7-10 years of proven experience as a data engineer or in a similar role, preferably in the marketing or SaaS industry.
- Proven track record of designing and implementing scalable data architectures
Technical Skills:
- Strong proficiency in a data development programming language such as Python, Java, or Scala
- Strong proficiency in SQL and a variety of database management systems and architectures (PostgreSQL, MySQL, MongoDB, etc.)
- Extensive experience developing, testing, and deploying software
- Experience developing within AWS
- Experience with cloud-native data warehouses such as Snowflake or Databricks
- Experience with event-streaming data platforms such as Kafka
- Experience with data pipeline and workflow orchestration tools such as Apache Airflow, ArgoCD, etc.
- Familiarity with data transformation tools such as dbt and ETL tools like Fivetran
Problem-Solving & Analytical Skills:
- Excellent problem-solving skills with the ability to design and implement efficient data solutions for complex data challenges.
Communication Skills:
- Strong written and verbal communication skills, with the ability to collaborate effectively with cross-functional teams in a remote environment.
Benefits and Perks
- Flexible work environment with a focus on work-life balance
- Competitive salary and benefits package including healthcare, dental, vision, and life insurance
- Retirement plan with company matching
- Regular team-building events and a global, remote-first company culture
ActiveProspect is an Equal Opportunity Employer committed to diversity and inclusion in the workplace.
