We have an opening for a Senior Data Architect to collaborate with our Data Platform and Segmentation teams to build solutions that improve our ability to process and leverage data and improve our data integration velocity. As a Senior Data Architect, you will partner with various teams to develop business requirements to standardize the business input and develop a long-term vision. You'll play a pivotal role working with other Data Engineers who build and maintain the data pipelines and data lake that enable and accelerate Data Science, Machine Learning, and AI, as well as the engine for real-time segmentation and marketing automation within Constant Contact.
*This is a flexible hybrid role where you'll spend time in the Waltham office working and collaborating with your team
What you'll do:
Work closely with Data Science/ML/AI teams to leverage and provide access to the vast data available for data-driven marketing insights for our customers
Work with cross-functional teams, define data strategies and leverage the latest technologies in data processing and data analytics
Design, implement, and build data models and pipelines that deliver data with measurable quality under the service level agreement
Design, develop, and deliver improvements to Constant Contact data integration practices, data analytics, and real-time stream processing
Work with the teams and stakeholders to scope and prioritize solutions
Establish rigorous engineering processes to ensure service quality, delivery of new capabilities, and continuously improve metrics.
Who you are:
8+ years experience in business analytics, data science, software development, data modeling, and/or data engineering work
3+ years of experience creating high-quality data pipelines
Proficiency in Java, Python, and SQL
Strong understanding of OLAP concepts with experience with OLAP technologies such as ClickHouse, Druid, Pinot, or similar platforms
Familiarity with search technologies such as Elasticsearch for high performance real-time applications
Experience orchestrating data pipelines with technologies such as Airflow, Dagster, and/or NiFi
Familiarity with stream-processing frameworks such as Apache Flink
Experience with AWS cloud services including, but not limited to, Kinesis, Glue, S3, Lambda, API Gateway, DynamoDB, and Athena
Experience with Docker and Kubernetes
Certification in AWS Cloud (AWS Certified Solutions Architect or similar)