Senior Data Platform Engineer at Taltere | Torre

Senior Data Platform Engineer

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Full-time

Legal agreement: Contractor

Currency exchange and payroll taxes to be paid by:

Depends on the location of the candidate

Compensation
USD29.4 - 40/hour
Non-negotiable

Engagement length: Open ended

location_on
Remote (for Colombia residents)
Remote (for Brazil residents)
Remote (for Costa Rica residents)
Remote (for Peru residents)
Posted 6 days ago

Responsibilities


Senior Data Platform Engineer Full-Time | 100% Remote Locations: Bogotá, Colombia | Medellín, Colombia | São Paulo, Brazil | Costa Rica (GAM) | Lima, Peru Seniority: Senior Associate L1 / Senior Associate L2 Pay Rate: USD $29.40–$40.00/hour, depending on experience level About the Role We are looking for a Senior Data Platform Engineer to join a team responsible for evaluating, validating, and enabling the adoption of emerging Microsoft Azure and Databricks capabilities across an enterprise data platform ecosystem. This team serves as a technical governance and innovation function for platform engineering. New platform features, services, and tooling are assessed, tested, and validated through proof-of-concepts (POCs) before enterprise adoption. You will partner closely with platform engineering teams to evaluate technologies such as Databricks Unity Catalog, data observability platforms, Databricks Genie, Zero Ops capabilities, and other emerging data platform innovations. This role combines hands-on engineering, platform integration, technical research, and advisory responsibilities and is ideal for an experienced engineer who enjoys exploring new technologies and translating technical findings into scalable enterprise solutions. Key Responsibilities Evaluate new Microsoft Azure and Databricks platform capabilities and determine their suitability for enterprise adoption. Design and execute proof-of-concepts (POCs) to assess scalability, security, governance, operability, and business value. Build integrations and reusable frameworks leveraging APIs, platform services, and automation tooling. Collaborate with platform engineering teams to define technical standards, best practices, and adoption recommendations. Analyze emerging capabilities related to data governance, observability, AI-assisted operations, and platform automation. Develop technical documentation, decision frameworks, and architecture recommendations for technical stakeholders. Contribute to platform modernization initiatives by identifying opportunities to improve operational efficiency, reliability, and developer experience. Leverage AI-assisted engineering tools such as GitHub Copilot to accelerate experimentation and platform development. Your Skills & Experience — Required The following qualifications are mandatory for this position. Candidates must meet the required experience and technical qualifications to be considered. 6+ years of professional experience for Senior Associate L1 or 8+ years of professional experience for Senior Associate L2. Strong hands-on experience with Databricks, including Unity Catalog and data governance concepts. Experience working with Azure Synapse Analytics and modern Azure data platform services. Solid background in API development, REST services, and system integrations. Experience integrating enterprise platforms, data services, and cloud-native solutions. Proficiency in one or more programming languages such as Python, Java, or Scala. Strong understanding of cloud architecture, automation, CI/CD practices, and source control using GitHub. Experience working in engineering teams conducting technical evaluations, pilots, proof-of-concepts, or architectural assessments. Strong communication skills with the ability to clearly present technical findings, risks, and recommendations to stakeholders. Set Yourself Apart With The following qualifications are preferred but not required: Experience evaluating or implementing data observability platforms. Knowledge of Databricks Genie, AI-assisted analytics, or conversational data capabilities. Exposure to Zero Ops, platform automation, or self-service operational models. Experience with enterprise data governance, lineage, metadata management, and platform controls. Familiarity with AI-assisted software engineering using GitHub Copilot or similar coding assistants. Experience defining enterprise technology standards, governance frameworks, or platform approval processes. Compensation Compensation is based on experience level: Senior Associate L1 6+ years of experience: USD $29.40–$33.50/hour Senior Associate L2 8+ years of experience: USD $35.00–$40.00/hour The estimated pay rate is based on the candidate’s demonstrated experience, English proficiency, technical assessment results, and overall alignment with the role requirements. Work Details Employment Type: Full-Time Work Model: 100% Remote Eligible Locations: Bogotá | Medellín | São Paulo | Costa Rica (GAM) | Lima Please note: This is a senior-level position with specific technical and experience requirements. Candidates must meet the qualifications listed under “Your Skills & Experience — Required” to be considered.
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