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Senior Data Engineer

10 hours, 43 minutes ago
Australia
Full-time
Senior
Data Engineer
Software Development
ArangoDB Azure CI/CD Databricks Datadog dbt HIPAA Kafka MLOps Neo4j Python Scala SQL Terraform
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Karbon

Karbon

Karbon offers a collaborative practice management platform designed specifically for accounting firms, enabling them to manage workflows, enhance team communication, and deliver high-quality client services efficiently, regardless of their team's locat...

Diversified Financial Services
51-250
Founded 2014
$102M raised
View All Jobs 5

Description

  • Design and implement distributed data pipelines and ETL/ELT infrastructure in Databricks using medallion architecture, data contracts, and lineage.
  • Build multi-tenant data infrastructure with strong isolation, performance, and cost management across cloud regions.
  • Lead integration of the AI-powered analytics platform with Databricks, including semantic layers, row-level security, and self-serve governance patterns.
  • Design and implement graph-based data structures for relationship mapping and client intelligence, integrating graph databases with Databricks as the source of truth.
  • Own the data security and governance model, including RBAC, PII masking, data residency, compliance monitoring, and tenant isolation.
  • Establish data engineering best practices across testing, CI/CD for data transformations, observability, and incident response.
  • Mentor junior engineers and lead architecture discussions.
  • Communicate technical decisions and trade-offs to technical and non-technical stakeholders.
  • Collaborate with the Lead Data Engineer and cross-functional teams across analytics, BI, AI, and product.
  • Maintain and improve existing systems while building new capabilities and reducing technical debt.

Requirements

  • 7+ years of experience as a data engineer, including 2+ years in a senior or staff-level role.
  • Deep expertise with cloud data warehouses, with Databricks preferred.
  • Proficiency with ELT/ETL tools such as Fivetran or similar and transformation frameworks such as dbt.
  • Strong SQL and query optimization skills at scale, plus deep understanding of dimensional modeling, fact tables, and conformed dimensions.
  • Experience implementing row-level security and RBAC in data systems.
  • Familiarity with privacy regulations such as GDPR, CCPA, and HIPAA.
  • Infrastructure-as-Code experience with Terraform or equivalent.
  • Experience shipping data platforms under operational pressure and making practical trade-offs to deliver on time.
  • Preferred experience with graph databases such as Neo4j, Amazon Neptune, or ArangoDB and graph query patterns.
  • Preferred experience with real-time or streaming data tools such as Kafka, Spark Streaming, or Fivetran CDC.
  • Preferred experience with Python or Scala for data processing beyond SQL.
  • Preferred experience with ML infrastructure, feature stores, or MLOps tooling.
  • Preferred experience with multi-tenant SaaS data architectures and isolation patterns.

Benefits

  • 4 weeks of annual leave plus 5 additional Karbon Days off each year.
  • Flexible working environment.
  • Generous parental leave.
  • Opportunity to gain global experience across the USA, Australia, New Zealand, the UK, Canada, and the Philippines.
  • Work with and learn from an experienced, high-performing team.
  • Promotion opportunities for high performers within a fast-growing company.
  • Collaborative, team-oriented culture that values diversity, development, and consistent feedback.

Interested in this position?

Apply directly on the company website

Apply Now

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