Principal Data Engineer / Data Lead

We are seeking a Principal Data Engineer/Data Lead to provide technical leadership for the digital solution navify Cervical Screening. You will be a top‑tier expert, driving architectural decisions, overseeing data integration and ensuring delivery of features and improvements.

Key Responsibilities

• Drive data integration and data fabric adoption across the domains, bringing together data, business and development domains.

• Ensure best practices and support organization‑wide standards for data quality, governance, security and observability.

• Act as a technical subject matter expert, mentoring Senior and Staff Engineers and collaborating closely with engineering leadership, data scientists and business stakeholders.

• Partner with cross‑functional stakeholders to shape data strategy, translate business needs into scalable technical solutions and influence decision‑making at both domain and enterprise levels.

• Spearhead the evaluation and integration of new technologies to continuously improve the performance and reliability of the data ecosystem.

• Troubleshoot and resolve the most complex performance and architectural challenges across the data ecosystem.

• Be accountable for defining and ensuring timely delivery of all data‑related requirements, including data integration, migration, storage, structure, legal compliance, privacy, quality and insights generation.

• Orchestrate DA&R engagement and delivery for digital products, activating the right DA&R capabilities and acting as a key liaison with cross‑functional experts.

Required Qualifications

• 8+ years of professional experience in a Data Engineering role, with significant experience operating at a Principal or Staff‑level capacity.

• Expert proficiency in SQL and Python.

• Extensive experience architecting and managing large‑scale cloud data platforms (e.g., AWS Glue, Google Dataflow, Azure Data Factory) and deep expertise in containerization and orchestration (Docker/Kubernetes).

• Deep, hands‑on expertise in data warehousing concepts, advanced modeling techniques (e.g., dimensional modeling, data vault) and establishing data governance frameworks.

• Proven track record of building, optimizing and leading deployment of massive‑scale, highly concurrent data pipelines using distributed processing frameworks (e.g., Apache Spark, Flink).

• Exceptional communication, negotiation and influencing skills, with the ability to present complex technical concepts to both technical and executive audiences.

Preferred Qualifications

• Good command of Spanish.

• Deep experience with workflow orchestration tools (e.g., Apache Airflow, Dagster) and managing them at scale.

• Experience with NoSQL and graph databases (e.g., MongoDB, Cassandra, Neo4j).

• Expertise in stream processing architectures and technologies (e.g., Kafka, Kinesis, Pulsar).

• Extensive experience with Terraform, CloudFormation or other advanced Infrastructure as Code (IaC) tools and GitOps methodologies.

Roche is an Equal Opportunity Employer.