Avalara - Senior Martech Enterprise System Engineer

Avalara Technologies

3 - 13 Years

Pune

MarTech Marketo CRM Workfront API Integration Python AWS Lambda

Posted on: 25/09/2026

Job Description

Job Description :

What Your Responsibilities Will Be :

- Build and maintain integrations between Marketo, Salesforce CRM, Workfront, and adjacent MarTech systems, delivering reliable, well-documented solutions.

- Engineer and optimize the lead lifecycle from capture and enrichment through scoring, routing, and CRM handoff, reducing lead leakage and improving data accuracy across the pipeline.

- Develop and maintain automation for campaign operations, asset management workflows in Workfront, and lead management processes in Marketo, replacing manual effort with reliable, auditable automation.

- Translate business requirements into technical solutions by working closely with Marketing Operations, Demand Generation, and Sales Operations to understand needs and deliver working solutions on time.

- Troubleshoot and resolve platform issues across Workfront, Marketo, and the leads pipeline, performing root cause analysis and implementing fixes that prevent recurrence.

- Write clean, maintainable code and configurations following team standards for API design, data handling, error management, and security best practices.

- Contribute to technical documentation by keeping integration maps, data flow diagrams, and runbooks current so the team can operate and onboard efficiently.

- Support peers through code reviews, knowledge sharing, and hands-on collaboration, raising the technical quality of the team's output.

- Monitor platform health and proactively flag performance issues, data anomalies, or integration failures before they impact marketing operations.

What You'll Need to be Successful :

Qualifications :

- B.S. in Computer Science, Engineering, or a related technical discipline.

- Years of hands-on experience in marketing technology, enterprise systems engineering, or a closely related technical discipline and have recent hands-on work building AI/ML systems.

- Solid hands-on experience with Marketo, including program setup, smart list logic, API integrations, lead lifecycle configuration, and data management.

- Hands-on experience with Adobe Workfront, including workflow configuration, template management, and automation for marketing or creative operations.

- Experience building and maintaining lead management pipelines, including capture, enrichment, deduplication, and scoring.

- Demonstrated production experience with LLMs, RAG pipelines, vector search/embeddings, or recommendation systems - not prototypes, but systems that served real traffic.

- Proficiency in Python, SQL, and JavaScript/Node.js, with experience owning AWS Lambda data pipelines from design to deployment.

- Experience with cloud infrastructure (AWS) and modern ML tooling (e.g., MLflow, SageMaker, or equivalents).

AI Expectations :

Avalara is an AI-first company. This role is expected to be an AI Bar Raiser, not a casual user of AI tools, but someone who embeds AI into how MarTech work gets done and elevates the AI capability of the team.

- Specifically, this role is expected to :

1. Use AI to accelerate development and troubleshooting, including AI-assisted code generation, API debugging, and automated testing for MarTech integrations.

2. Apply AI to lead intelligence, leveraging AI/ML-based lead scoring and intent signal processing to improve pipeline quality and Sales efficiency.

3. Automate content and campaign operations using AI tools to reduce manual effort in asset creation, QA, and campaign setup within Marketo and Workfront.

4. Identify and quantify AI-driven improvements, e.g., reduction in lead processing time, improvement in MQL-to-SQL conversion, or hours saved through intelligent workflow automation.

5. Share AI best practices with the MarTech team and Marketing Operations, helping peers adopt AI tools responsibly and effectively.

6. Apply AI responsibly, with awareness of data privacy, governance, and ethical use standards relevant to marketing data and customer information.

- Candidates who cannot demonstrate specific, measurable AI impact in prior roles do not meet Avalara's AI Bar Raiser standard.

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