Senior Data Architect defining comprehensive data strategy and architecture for AI. Delivering organization’s data vision and ensuring governance and technical oversight of enterprise data architecture.
About the role
- Marketing Data Engineer at Progress, designing and implementing data pipelines for AI-powered applications. Collaborating with marketing operations teams to support data-driven strategies.
Responsibilities
- 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
- 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
- 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
- Work independently and efficiently, managing multiple tasks, priorities, and projects simultaneously and successfully
- Stay current with innovations in data management and propose strategies for marketing data orchestration
- Promote best practices in marketing data handling and integration.
Requirements
- 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
Benefits
- Competitive remuneration package
- Employee Stock Purchase Plan Enrolment
- 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
- Life insurance coverage
- Professional development reimbursement
- Interest subsidy on loans - either vehicle or personal loans.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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