Job Description

Roles & Responsibilities

Job Responsibilities

• Review, challenge and evolve the Nuitee data platform architecture, from data ingestions to exposure to consumers
• Stand up tooling for lineage, cataloging, data quality, observability, and cost control.

Data Architecture & Pipelines

• Review, challenge and evolve the Nuitee data model and transformations.
• Create clear modeling standards across layers (raw clean semantic layer).
• Design and maintain ingestion + transformation pipelines from source systems to semantic layer

Data Quality & Governance

• Ensure end-to-end lineage is captured and explorable.
• Implement automated testing, observability, cost monitoring, and performance tuning.
• Ensure that data pipelines are scalable, maintainable, and well-documented.

Collaboration & Enablement

• Partner with technology and business stakeholders to develop deep source understanding: map business processes to source tables/collections, events, and fields
• Partner with data analysts and data scientists to understand data consumption use cases and patterns
• Define and enforce data contracts, SLAs and quality gates to ensure data quality , in collaboration with data and business stakeholders
• Provide support, coaching, tooling, and patterns you are the technical enabler, not a gatekeeper.

Scale the Team as We Grow

• Identify hiring needs, build and develop a team of data engineers to ensure data scales to support business growth

Desired Candidate Profile

• Bachelor s or Master s degree in Computer Science, Engineering, or related field (or equivalent experience).

• Hands-on data platform builder with the architectural vision to scale

• 8+ years in data engineering / data architecture in fast-scaling and fast-paced environments.

• Ability to ship fast - we deliver in hours and days, not quarters

• SQL modeling + dbt or equivalent semantic modeling experience.

• Distributed data pipelines and orchestration experience.

• Experience tuning and scaling BigQuery or cloud warehouses.

• Solid grounding in data quality frameworks, lineage and observability

• Strong communication - comfortable challenging assumptions, explaining trade-offs, and guiding others toward best practices.

Nice to Have

• Experience in B2B platforms, marketplaces, or travel distribution datasets .

• Hands-on experience with Databricks, dbt, Airflow, MySQL, MongoDB