MUST HAVE:

• 5+ years of experience in data engineering within fast-paced, cloud-native environments
• Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
• Experience building and managing scalable ETL pipelines and data lake infrastructure
• Familiarity with distributed systems, Spark, and data quality best practices
• Strong cross-functional collaboration skills to support BI, analytics, and engineering teams

EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.

YOUR ROLE

Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.

OUTCOMES

• Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
• Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
• Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
• Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
• Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
• Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
• Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture

COMPETENCIES

• Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
• Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
• Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
• Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
• Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
• Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering

MUST HAVE:

• 5+ years of experience in data engineering within fast-paced, cloud-native environments
• Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
• Experience building and managing scalable ETL pipelines and data lake infrastructure
• Familiarity with distributed systems, Spark, and data quality best practices
• Strong cross-functional collaboration skills to support BI, analytics, and engineering teams

EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.

YOUR ROLE

Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.

OUTCOMES

• Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
• Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
• Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
• Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
• Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
• Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
• Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture

COMPETENCIES

• Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
• Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
• Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
• Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
• Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
• Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering

The Varicent Associate TAM works alongside Technical Account Managers within the Customer Success organization with a portfolio of clients who have subscribed to the VIP Program. The Associate TAM will act as a Varicent adviser to client resources with the aim to maximize the VIP client’s return on their Varicent investment. This will require building strong relationship with all stakeholders and supporting business goals by solving go to market challenges with innovative solutions. This will include answering product, process and solution specific questions as well as proactively monitoring existing solutions for optimal performance. Adapting and evolving existing solution with net new implementation and adoption of new features and functionality will help further drive the value of Varicent solutions. Working in tandem with the primary TAM, the Associate TAM will play an integral role in owning the customer’s technical success and supporting all system and solution–focused conversations.

KEY RESPONSIBILITIES 

• Advanced SQL is mandatory
• Support the primary TAM in monitoring the health and performance of Varicent solutions across a portfolio of VIP customers. 
• Assist in coaching users on foundational Varicent functionality, configuration concepts, and best-practice methodologies. 
• Participate in reviewing new features, fixes, and release notes to help assess potential impact on the customer’s environment. 
• Contribute to configuring Varicent solutions based on documented customer requirements, under guidance from the senior TAM. 
• Prepare and share monthly performance, utilization, and support-related metric summaries. 
• Analyze solution usage and data patterns to help identify potential issues or areas for optimization. 
• Assist in implementing proactive maintenance actions and solution improvements. 
• Collaborate with TAMs and Internal teams to troubleshoot errors, investigate defects, and support solution optimization efforts. 
• Identify opportunities for customer value realization and surface to the primary TAM for strategic review. 
• Contribute to customer conversations that frame Varicent products as targeted solutions to process challenges, enabling thoughtful upsell, cross-sell, and expansion motions. 
• Parter with the TAM team to support sustainable customer engagement, project outcomes, and product adoption. 
• Contribute to planning and estimating tasks within the Technical Success journey, ensuring alignment within available customer VIP entitlement. 
• Work with internal stakeholders to understand change management processes and assist in recommending improvements where appropriate. 
• Collaborate with TAMs to maintain reusable object repository. 

EDUCATION & EXPERIENCE 

• At least 5 years of experience in IT Consulting, Enterprise Software Implementation  
• Prior experience with Query Based Languages and Relational Databases 
• Technical data skills including strong experience with SQL data manipulation, Microsoft Excel 
• Preferred: Understanding of Sales Performance Management domain 
• Strongly Preferred: Hands on experience of Varicent software products (Administering, implementing and / or supporting)
• Basic knowledge of system configurations, data models, and data integration best practice concepts. 

PERFORMANCE BASED SUCCESS CRITERIA  

1-3 Months

During this time, the Associate Technical Account Manager will successfully: 

• Familiarize oneself with company culture, policies, escalation paths, and internal systems.  
• Training and onboarding will be completed.  
• Learn the various systems used in daily operations. 
• Participation in team meetings and events. 

Success Indicators: 

• Complete all onboarding activities and training with passing grades 
• Seen by peers as responsive and professional 
• Demonstrate curiosity and engagement 

4-6 Months

During this time, the Associate Technical Account Manager will successfully: 

• Begin managing defined customer work triaged by your Technical Account Manager cohorts. 
• Adhere to VIP program deliverables including task tracking against active initiatives. 
• Begin to prioritize tasks, escalate blockers, communicate effectively and demonstrate problem resolution, personal growth, and adaptability.  
• Support data validation, report creation, performance troubleshooting, and config changes as needed. 

Success Indicators: 

• Complete assigned technical work with some oversight 
• Demonstrate an understanding of model structure and customer needs 
• Provide meaningful updates and documentation 

7 Months & beyond

During this time, the Associate Technical Account Manager will successfully: 

• Candidate will manage a full client portfolio.  
• Operate as a trusted technical partner, supporting the TAM at a strategic level. 
• Independently deliver core TAM activities 
• Configuration work 
• Troubleshooting & support 
• Documentation of changes and existing build 
• Generating usage, performance, and status reporting (flagging important data points) 
• Participate in journey/plan execution 

After 12 months should be able to perform all duties of a TAM 

• Performing a complete Annual Health Check  
• Articulate findings, risks, and recommendations 
• Support value tracking & outcomes 
• Support cross selling initiatives by documenting use cases and your portfolio’s technical needs 

Success Indicators: 

• Customer confidence and satisfaction 
• Portfolio managed with minimal oversight and escalation 
• High-quality delivery within contractual hours 
• Annual Health Check completed independently