Sr. Data Engineer

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 Summary

We 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.