Senior Data Platform Engineer ID92538

About the role We are looking for a Senior Data Platform Engineer to build secure, scalable data platform capabilities and automate data governance controls. The mandatory requirements are 5+ years of data engineering experience, SQL, experience with at least one of the following: Databricks, Unity Catalog, data lakes, or Apache Spark, and an upper-intermediate English level. Must haves Bachelor's in CS/Data Engineering/Software Engineering/related STEM (or Bachelor's + Master's/higher in STEM) 5+ years software/data engineering experience (or equivalent demonstrated skill) 5+ years with Python, SQL, distributed processing, data modeling, modern data engineering frameworks Strong experience with cloud data platforms, data catalogs, metadata, lineage, data quality, access controls Databricks, Unity Catalog, Data Lake, Apache Spark, or comparable CI/CD, automated testing, environment separation, production deployment Experience building secure APIs, MCP servers, or tools for enterprise/AI-enabled apps Enterprise identity, RBAC, service accounts, secrets, least-privilege security Full lifecycle experience: architecture → development → deployment → production support Upper-intermediate English level. Nice to haves GitLab CI/CD or comparable Policy-as-code, infrastructure-as-code, configuration-driven platforms Experience building data marketplaces, governance platforms, or internal developer platforms Familiarity with privacy/security/regulatory/AI governance controls Experience in regulated or risk-sensitive environments What you will do Architect secure, scalable data platform and governance automation capabilities Build automated controls for metadata, ownership, lineage, data quality, access, and policy enforcement Develop secure APIs, MCP tools, and integrations for enterprise/AI-enabled applications Design reusable, configuration-driven patterns for governed data/platform services Implement identity, authz, least-privilege access, auditability, and credential management Build automated validation, testing, deployment, and monitoring across environments Partner with domain experts, PMs, governance teams, and engineers on technical controls Establish observability for platform health, data quality, policy results, and failures Own production-quality code, tests, documentation, and operational guidance Mentor other engineers; guide technical direction across teams Perks and benefits Growth without limits: build your skills through mentorship, internal TechTalks, challenging projects, and a dedicated annual learning budget Competitive compensation: get recognition that reflects your skills and impact, with regular performance and compensation reviews Flexibility: work 100% remotely with flexible hours that support focus, autonomy, and a healthy work rhythm Meaningful, modern projects: build impactful products using modern technologies alongside global teams and leading brands Collaborative culture: join a supportive environment with zero micromanagement where ideas are welcomed and contributions are recognized Well-being & support: access local well-being programs and people-focused support tailored to your location Job Type: Full-time Work Location: Remote

Architect secure, scalable data platform and governance automation capabilities Build automated controls for metadata, ownership, lineage, data quality, access, and policy enforcement Develop secure APIs, MCP tools, and integrations for enterprise/AI-enabled applications Design reusable, configuration-driven patterns for governed data/platform services Implement identity, authz, least-privilege access, auditability, and credential management Build automated validation, testing, deployment, and monitoring across environments Partner with domain experts, PMs, governance teams, and engineers on technical controls Establish observability for platform health, data quality, policy results, and failures Own production-quality code, tests, documentation, and operational guidance Mentor other engineers; guide technical direction across teams

Bachelor's in CS/Data Engineering/Software Engineering/related STEM (or Bachelor's + Master's/higher in STEM) 5+ years software/data engineering experience (or equivalent demonstrated skill) 5+ years with Python, SQL, distributed processing, data modeling, modern data engineering frameworks Strong experience with cloud data platforms, data catalogs, metadata, lineage, data quality, access controls Databricks, Unity Catalog, Data Lake, Apache Spark, or comparable CI/CD, automated testing, environment separation, production deployment Experience building secure APIs, MCP servers, or tools for enterprise/AI-enabled apps Enterprise identity, RBAC, service accounts, secrets, least-privilege security Full lifecycle experience: architecture → development → deployment → production support Upper-intermediate English level.

Growth without limits: build your skills through mentorship, internal TechTalks, challenging projects, and a dedicated annual learning budget Competitive compensation: get recognition that reflects your skills and impact, with regular performance and compensation reviews Flexibility: work 100% remotely with flexible hours that support focus, autonomy, and a healthy work rhythm Meaningful, modern projects: build impactful products using modern technologies alongside global teams and leading brands Collaborative culture: join a supportive environment with zero micromanagement where ideas are welcomed and contributions are recognized Well-being & support: access local well-being programs and people-focused support tailored to your location Job Type: Full-time Work Location: Remote