Data Engineer Lead — Remote Cloud & ML Systems

Mutt Data; United States; Remote; USD 140,000 - 210,000; Full time

Benefits offered by this job

Birthday off + extra vacation week

Referral bonuses

Maslow Monthly benefits credits

Annual Mutters' Trip

Monthly childcare reimbursement

In-Company English Lessons

Remote-first culture – work from anyw­

Job summary

Muttdata seeks a Data Engineer Lead to drive end-to-end data migrations, define architecture decisions, and coordinate dependencies across cloud platforms including AWS Redshift and Databricks. You will liaise with engineering, analytics, product, and business teams to ensure timely, high-quality migrations.

The role requires hands-on data engineering with PySpark, Databricks, and streaming/batch pipelines, plus strong English communication and governance mindset.

Qualifications

• Experience in Data Engineering, including building and optimizing data pipelines.
• Advanced English level.
• Familiarity with BI visualization tools like Looker or Tableau.
• Experience with Databricks, Python, and Spark, building batch and streaming pipelines.

Responsibilities

• Lead end-to-end data migration initiatives with secure, business-aligned transitions.
• Define and communicate data architecture decisions across cloud platforms (AWS Redshift, Databricks).
• Coordinate discovery of dependencies, schemas, data flows, and critical processes for migration.
• Own migration and cutover planning with validations and contingency measures.
• Serve as the liaison between engineering, analytics, product, and business stakeholders to ensure alignment.
• Translate technical changes in data pipelines and warehouses into clear business impact.
• Define assumptions, requirements, and acceptance criteria for migration outcomes.
• Oversee data validation to ensure data integrity against source-of-truth systems.
• Identify and mitigate migration risks; escalate blockers to protect timelines.
• Create, maintain, and improve migration runbooks, testing strategies, and rollback plans.
• Provide status updates to technical and executive stakeholders; highlight risks and next steps.
• Promote data governance, quality, and operational best practices throughout migration lifecycle.
• Align engineers, analysts, and product stakeholders on priorities and delivery expectations.

Skills

Data engineering

English proficiency

Tools

Databricks

Python

Spark

Looker/Tableau

AWS

DBT

Google Cloud

Azure

Job description

Muttdata seeks a Data Engineer Lead to drive end-to-end data migrations, define architecture decisions, and coordinate dependencies across cloud platforms including AWS Redshift and Databricks. You will liaise with engineering, analytics, product, and business teams to ensure timely, high-quality migrations.

The role requires hands-on data engineering with PySpark, Databricks, and streaming/batch pipelines, plus strong English communication and governance mindset.