#725 Software Engineer (Lake Analytics Platform)

Lever, Inc.; Polska; Hybrid; PLN 180,000 - 280,000; Full time

Job summary

Lever, Inc. is seeking a data platform engineer to operate and extend a cloud analytical platform (Snowflake/Databricks). You will manage provisioning, access control, and governance, while maintaining integrations with internal systems and developing self-service tooling.

The role emphasizes quick ramp-up, strong Python/SQL skills, and reliable incident response in a contract setting with a fixed engagement window. Expect collaboration across platform teams and on-call duties.

Qualifications

• Hands-on experience operating a cloud analytical data platform (Snowflake/Databricks) with governance and compute management.
• Proficiency in Python and SQL for building platform services.
• Experience with CI/CD pipelines and deployment automation for production services.

Responsibilities

• Operate core platform capabilities: provisioning, deploy pipelines, access control, and service lifecycle management.
• Maintain integrations between platform services and internal systems (CI/CD, identity, secrets).
• Support governance work on Snowflake-based environment, including data masking and RBAC.
• Keep self-service tooling running: automate access provisioning and runbooks for platform users.
• Maintain observability: use telemetry and runbooks to diagnose and resolve issues.
• Participate in on-call rotation and triage production incidents.
• Document decisions and hand off work clearly at contract end.

Skills

Python

SQL

CI/CD

REST APIs

GitHub Actions

Databricks

Snowflake

Data Governance

Containerization

Incident Response

Tools

Buildkite

GitHub Actions

Databricks

Snowflake

OAuth/OIDC

Job description

Job Overview

The Lake Analytics Platform (LAP) team builds the trusted analytical architecture that lets datamove safely from durable storage to business decisions, internal applications, and AI. The team'swork spans the lakehouse foundation (storage, table formats, compute), governance and access(RBAC, data masking, policy-driven grants), a shared semantic layer for business definitions, andthe internal developer platforms that turn governed data into working products used across thecompany.

What You'll Do

• Operate core platform capabilities: Pick up and extend existing platform features —provisioning, deploy pipelines, access control, and service lifecycle management — for theinternal tools and applications the team supports, without needing to make net-newarchitecture decisions.
• Maintain integrations: Support and extend integrations between platform services andinternal systems — CI/CD, identity and secrets management, internal APIs, and event-drivenhooks.
• Support governance work in flight: Continue in-progress access control, data classification,and dynamic masking work on the team's Snowflake-based analytical environment,following patterns already established by the team rather than setting new ones.
• Keep self-service tooling running: Maintain and incrementally improve automation thatkeeps access provisioning, pipeline failure handling, and service health self-service forplatform users.
• Hold up observability and incident response: Use existing telemetry, alerting, and runbooksto diagnose and resolve platform issues; follow established operational patterns rather thanredesigning them.
• Share on-call coverage: Participate in on-call rotation and triage production incidents acrossthe platform services you support for the duration of the engagement.
• Hand off cleanly: Document decisions and open threads clearly enough that returning team members can pick work back up with minimal context loss at the end of the contract.

What We're Looking For

• Analytical Data Platform Experience: Hands-on experience operating a cloud analytical dataplatform (Snowflake, Databricks, BigQuery, or similar), including access control, datamasking/governance, and compute management. Comfortable operating with elevatedprivileges and mindful of blast radius.
• Container and Deployment Experience: Experience with containerized applications, CI/CDpipeline design (Buildkite, GitHub Actions, or similar), and deployment automation forproduction services.
• Platform and Developer Tooling: Experience building or operating internal platforms,developer tooling, or self-service infrastructure for other engineers.
• Integrations: Comfort with REST APIs, OAuth/OIDC, webhook ingestion, secretsmanagement, and identity/SSO patterns in a managed cloud environment.
• Backend Fundamentals: Proficiency in Python and SQL for building and maintaining reliableplatform services.
• Operational Ownership: Comfortable owning alerts and runbooks written by others, andclosing the loop on incidents with root cause analysis.
• Fast Ramp-Up: Prior experience joining an existing codebase/platform mid-stream as acontractor or new hire and becoming productive quickly with limited onboarding time.
• Communication: Strong written communication — this role depends on clear async updatesand documentation given the fixed engagement window and handoff requirements.