Senior Data Platform Engineer - Dusseldorf at Boston Scientific Corporation Malaysia

Düsseldorf, North Rhine-Westphalia, Germany -

Full Time

Start Date

Immediate

Expiry Date

11 Feb, 26

Salary

0.0

Posted On

13 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Infrastructure-As-Code, CI/CD, Cloud Data Platforms, Data Security, Telemetry, Data Quality, Automation, Cost Optimization, Documentation, Incident Management, Change Management, Governance, Privacy, Snowflake, AWS, Azure

Industry

Medical Equipment Manufacturing

Description

Working closely with the Global team, you'll ship infrastructure‑as‑code, automate CI/CD for data workloads, and harden security so teams can build safely by default. Platform engineering & operations: Design, build, and operate cloud data platforms components (lake/lakehouse, warehouses, streaming, orchestration, catalogs) with strong SLIs/SLOs, automated recovery, and capacity planning. Pipelines & frameworks: Provide reusable templates and libraries for ELT/ETL, CDC, and streaming, standardize patterns for schema evolution, testing, and deployments across domains. Security & compliance by design: Implement least‑privilege IAM, key management, encryption in transit/at rest, network segmentation, and data classification, ensure GDPR/data residency adherence with auditable controls. Observability & quality: Instrument end‑to‑end telemetry (logs/metrics/traces), lineage, and data quality checks, build dashboards and alerts to prevent regressions and reduce MTTD/MTTR. Automation & IaC: Deliver platform resources with infrastructure‑as‑code, enable Git‑based workflows, CI/CD for data workloads, and policy‑as‑code guardrails. Cost efficiency: Monitor and optimize spend across compute/storage, set budgets and alerts, recommend right‑sizing, workload scheduling, and caching/format strategies. Collaboration & enablement: Document platform capabilities, publish examples and runbooks, and provide office hours/community support to drive safe self‑service adoption. Incident & change management: Lead RCAs, prioritize preventative engineering and change controls. Standards & reusability: Contribute to reference architectures and shared components, champion interoperability (contracts, semantics) with architecture and governance peers. Global alignment: Partner with global platform, product, and security teams to align roadmaps, share learnings, and represent EMEA needs. Working knowledge of governance and privacy (GDPR), retention, and access models, especially as implemented in Snowflake, AWS, and Azure. Experience with Informatica, dbt, and Azure is highly valued. Experience in medtech/pharma/consulting is a plus.

Responsibilities

Design, build, and operate cloud data platform components while ensuring strong SLIs/SLOs and automated recovery. Implement security measures and monitor cost efficiency across compute and storage resources.