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Snowflake Developer

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Hybrid

Snowflake Developer

Axtria

Snowflake Developer

Skills

Data EngineeringSnowflakeData AnalysisAINo-code AutomationsRisk Management

6 days ago

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Important information


Contract type:

Permanent

Work mode:

Hybrid

Published on:

16 October 2026

What they need


Role Summary

As a Lead Engineer at Axtria, you will take ownership of designing and delivering scalable data pipelines in

Snowflake that ensure Pharma Commercial Data(US) is accurate, integrated, and analytics-ready. Operating

with high autonomy, you will drive Data Management effectiveness, oversee AI-augmented delivery

workflows, and coach junior engineers to elevate team capabilities. You will partner closely with

cross-functional teams to establish robust human-in-the-loop governance and quality standards, directly

impacting the reliability of our analytics and AI solutions.

Responsibilities

  • Design and deliver scalable data pipelines and platform components to ensure high-quality,

analytics-ready data across multiple source systems.

  • Review, validate, and govern AI-generated code and agentic workflows within the Data Engineering

domain, intervening on novel failures and complex quality gaps.

  • Define and maintain quality thresholds, validation criteria, and escalation protocols for automated and

AI-assisted Data Management delivery.

  • Coach and mentor less experienced engineers, driving team adoption of AI-assisted tooling, reusable

accelerators, and best practices.

  • Partner with Business Intelligence (BI), Artificial Intelligence (AI), and cross-functional teams to establish

shared quality standards, agent guardrails, and responsible automation practices.

  • Ensure on-time, high-quality workstream delivery while maintaining direct accountability for the accuracy

and completeness of assigned data domains.

  • Drive continuous improvement in platform resilience, data quality practices, and risk management in

alignment with defined Service Level Agreements (SLAs).

Requisites

Experience

5-8 years of experience in data engineering, including proven experience in technical leadership, complex

problem solving, and coaching junior team members.

Qualification

Full Time Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field.

Functional Skills

Data Management

Technical Skills

Snowflake

Domain Expertise

Pharma Commercial Data(US)

Competencies / Behavioural Skills

  • Technical leadership and mentoring of junior engineering talent.
  • Strategic decision-making and problem-solving under ambiguity.
  • Cross-functional collaboration and stakeholder communication.
  • Accountability for quality and governance in automated workflow

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