Data Forward Deployed Engineer – Applied Data & ML Engineering
Tessera Labs2 days ago
Remote, United StatesSenior
Base Salary
$180k - $233k/yr
Responsibilities
- Embed with client teams to scope data and ML problems, map source systems, and deliver working outcomes.
- Own validation, reconciliation to source, monitoring, and stakeholder sign-off for engagement delivery quality.
- Build scalable ETL/ELT pipelines using SQL, Python, and dbt across enterprise ERP, CRM, HCM, and finance data.
- Design canonical enterprise data models and cross-system mapping rules for master and transactional data.
- Implement validation, reconciliation, and monitoring to resolve duplicate, inconsistent, and legacy data.
- Engineer features and build, deploy, and monitor production ML models for use cases such as forecasting and anomaly detection.
- Turn repeated client patterns into reusable components for the Tessera platform.
Requirements
- 5+ years of experience in Data Engineering, ML Engineering, or Applied Data Science.
- Experience with enterprise data harmonization, migration, or analytics across ERP, CRM, or finance systems.
- Experience in client-facing, consulting, or forward-deployed roles.
- Advanced SQL and strong Python skills for data pipelines and ML workflows.
- Experience building ETL/ELT pipelines and processing large-scale enterprise datasets.
- Experience with relational and dimensional data modeling.
- Experience using dbt for transformation, testing, and documentation.
- Experience with at least one cloud platform: AWS, GCP, or Azure.
- At least one ML model built, deployed, and monitored in production on business data.
- Experience with feature engineering from structured and time-series enterprise data, model evaluation, and model monitoring.
- Working knowledge of enterprise data domains and processes such as finance, supply chain, and master data.
- Ability to understand complex enterprise systems and translate business rules into cross-platform data and ML solutions.
- Ability to work directly with client engineers, functional consultants, and business stakeholders while scoping ambiguity and supporting decisions with evidence.
- Strong analytical problem-solving skills and ownership of complex production-grade solutions.
- Preferred experience with Snowflake or Databricks and distributed processing tools such as Spark, PySpark, DuckDB, or similar.
Tech Stack
Categories
Forward Deployed
About Tessera Labs
Tessera Labs builds multi-agent AI systems that automate complex enterprise workflows across platforms such as SAP, Salesforce, Workday, Snowflake, and Databricks. It sells AI automation software and services to large organizations seeking to operationalize AI in back-office and data operations. Founded in 2022 and headquartered in London, the privately held company focuses on deploying production AI within existing enterprise stacks.