Data Forward Deployed Engineer – Applied Data & ML Engineering at Tessera Labs · LumiJobs

Qualification

Enterprise data harmonizationExperience in client-facingAdvanced SQLdbt for transformationCloud platform experience (AWSAt least one ML model builtSystems thinkingDistributed processing (Spark / PySparkFirst-Year Measures of SuccessMonth 1Month 2Month 3

Required

5+ years of experience in Data Engineering, ML Engineering or Applied Data Science.
Enterprise data harmonization, migration or analytics experience across ERP, CRM or finance systems.
Experience in client-facing, consulting or forward-deployed roles.
Advanced SQL, and strong Python for data pipelines and ML workflows.
Experience building ETL/ELT pipelines and processing large-scale enterprise datasets.
Relational and dimensional data modeling.
dbt for transformation, testing and documentation.
Cloud platform experience (AWS, GCP or Azure).
At least one ML model built, deployed and monitored in production on business data.
Feature engineering from structured and time-series enterprise data, and model evaluation and monitoring.
Working knowledge of core enterprise data domains and business processes, such as finance, supply chain and master data.
Systems thinking: the ability to understand complex enterprise systems and business processes, and to turn business rules into data and ML solutions that work across platforms.

Preferred

Hands-on experience with a cloud data platform such as Snowflake or Databricks.
Distributed processing (Spark / PySpark, DuckDB or similar).
First-Year Measures of Success
Month 1: Up to speed on the Tessera platform and delivering on at least one client engagement. Trusted by the client’s data and business stakeholders and by the Tessera team on that engagement.
Month 2: Your first data product in production, validated and reconciled to source, with stakeholder sign-off. Repeated client patterns captured as reusable components for the Tessera platform.
Month 3: At least one ML model, for example for forecasting or anomaly detection, deployed and monitored in production on client data. Your reusable components in use on other engagements.
If you want to turn fragmented enterprise data into trusted data products and production ML models, and to build it with us, we would like to hear from you.
Tessera Labs is an equal opportunity employer. We welcome applicants of all backgrounds and do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other legally protected status.

Data Forward Deployed Engineer – Applied Data & ML Engineering

Responsibilities

Qualification

Required

Preferred

Company

Tessera Labs

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