Job Description

We are Progress (Nasdaq: PRGS) - the trusted provider of software that enables our customers to develop, deploy and manage responsible, AI-powered applications and experience with agility and ease.
We're proud to have a diverse, global team where we value the individual and enrich our culture by considering varied perspectives because we believe people power progress. Join us as a Principal Data Engineer, Marketing and help us do what we do best: propelling business forward. Know more about .
In this role, you will join the Marketing Operations team to support the needs of Progress' diverse and growing demand generation and field marketing teams.
We are seeking a skilled and detail-oriented Data Engineer for designing and implementing robust data pipelines for ingestion, normalization, and segmentation of customer data from various sources. The ideal candidate will have a strong background in data engineering, cloud platforms, and customer data management.
In this role, you will:
Data Engineering & Pipeline Management

• Transform raw data into clean, structured, and usable formats.
• Deploy and automate data transformation pipelines using scalable tools and frameworks.
• Design, build, and maintain scalable data ETL pipelines to integrate data from multiple sources.

Configuration & Data Quality

• Configuring data sources, destinations, and event tracking mechanisms between Data Warehouse, ABM, Web Personalization and MAP tools to ensure accurate customer data integration.
• Develop and implement data normalization processes to ensure consistency, accuracy, and usability of customer data.
• Own the creation, testing, and validation of audiences/segments and journey workflows to enable targeted marketing activities.
• Utilize and train out-of-the-box AI/machine-learning models
• Perform ongoing data quality assurance, including monitoring and verifying data accuracy across marketing systems
• Monitor and optimize data workflows for performance, scalability, and reliability.

Documentation & Collaboration

• Maintain comprehensive documentation of platform configurations, operational workflows, and testing protocols to support team knowledge-sharing and smooth platform operation.
• Troubleshoot data and platform issues promptly and collaborate with engineering teams and external vendors to escalate and resolve complex technical problems.
• Work closely with data scientists, analysts, and marketing teams to deliver actionable datasets.
• Lead complex data projects, propose innovative solutions, and mentor others in solving technical challenges.
• Translate complex concepts into clear proposals and updates for stakeholders.
• Works independently and efficiently, managing multiple tasks, priorities, and projects simultaneously and successfully.

Strategic & Analytical Thinking

• Stay current with innovations in data management and propose strategies for marketing data orchestration.
• Promote best practices in marketing data handling and integration.

Your background:

• Bachelor's or Master's degree in Computer Science, Engineering, or related field.
• 6+ years of experience in data engineering or related roles.
• Strong understanding of data modeling, ETL/ELT processes, and data warehousing concepts.
• Familiarity with CRM (e.g., Salesforce) is a plus.
• Knowledge of data privacy regulations (e.g., GDPR, CCPA) and best practices in data governance.
• Excellent problem-solving skills and ability to work in a collaborative team environment.
• Ability to create and manage data objects and relationships
• Familiar with master data management concepts
• Experience with data integration from various sources
• Experience working with large data sets
• General API knowledge
• General knowledge of data normalization best practices/techniques
• Understanding of how ID resolution and customer profile unification works in Unity
• Ability to monitor data flows and resolve anomalies
• Proficiency in Python, SQL, and data pipeline frameworks

Additionally, it would be beneficial if you have:

• Familiarity with Marketing Automation Platforms (e.g., Eloqua, Marketo, Salesforce Marketing Cloud) is a plus.
• Familiarity with Customer Data Platforms (e.g., Oracle Unity, Segment, Salesforce Data Cloud, Adobe Experience Platform) is a plus.
• Knowledge in JSON/XML, Eloqua, Salesforce, Snowflake

If this sounds like you and fits your experience and career goals, we'd be happy to chat. What we offer in return is the opportunity to experience a great with wonderful colleagues to learn from and collaborate with, and also to enjoy:
Compensation

• Competitive remuneration package
• Employee Stock Purchase Plan Enrolment

Vacation, Family, and Health

• 30 days of earned leave
• An extra day off for your birthday
• Various other leaves like marriage leave, casual leave, maternity leave, and paternity leave
• Premium Group Medical Insurance for employees and five dependents, personal accident insurance coverage, and life insurance coverage
• Professional development reimbursement
• Interest subsidy on loans - either vehicle or personal loans.

Apply now!
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