El Oficial MEL brindará soporte técnico y operativo en la implementación, seguimiento y fortalecimiento de los sistemas y procesos de Monitoreo, Evaluación y Aprendizaje de los programas del portafolio de tierras en la regional Cauca.
Lead the design and delivery of scalable, governed data products on a Databricks Lakehouse across Azure and AWS.
Compensation
Pay Range: $133,365.00 - $156,900.00
Responsibilities
Lead and guide Databricks data engineering across Bronze, Silver, and Gold layers, with particular focus on trusted, reusable Silver and Gold data products.
Translate business requirements into scalable data architecture, engineering designs, delivery standards, and technical acceptance criteria.
Remain hands‑on in engineering and development, including coding, code review, and code management, while guiding the delivery of batch, CDC, streaming, API, and file‑based data pipelines.
Review data models, solution designs, and critical code for quality, security, scalability, performance, and alignment with engineering standards.
Drive cross‑cloud data integration and sharing across Azure, AWS, Databricks, and Snowflake.
Design and build scalable, cloud-native data solutions with a focus on CRM data integration and optimization to support sales, loyalty, and marketing initiatives in the automotive business.
Responsibilities
Design, develop, and optimize data pipelines and workflows using Databricks and Azure Data Services
Implement best practices for data engineering, including CI/CD, automated testing, and infrastructure-as-code
Collaborate with cross-functional teams to deliver high-quality, reliable, and secure data solutions
Drive adoption of modern DevOps practices within the data engineering lifecycle
Ensure data quality, governance, and compliance across all solutions
We are seeking an experienced Senior Data Engineer (Microsoft Fabric) to join our Data & Analytics team and support a large-scale data modernisation programme. This strategic initiative focuses on migrating the organisation's analytics platform from Oracle to Microsoft Fabric.
Responsibilities
Design, develop, and deploy end-to-end data pipelines in Microsoft Fabric.
Leverage Change Data Capture (CDC) and Fabric Mirroring capabilities to enable real-time data replication and unified analytics.
Support the migration of semantic models and analytical workloads from Oracle to Microsoft Fabric.
Build, optimise, and maintain scalable data integration and transformation solutions using PySpark and SQL.
Develop and enhance metadata-driven ingestion and orchestration frameworks.
Requirements
Nice to have: Metadata-driven ingestion and orchestration frameworks
Senior Solution Architect responsible for technical design, architecture, and implementation of the STAAND platform built on Microsoft Dynamics 365 and Power Platform in a government cloud environment.
Responsibilities
Own architecture, security design, AI engineering, and platform-release change cadence for STAAND
Configure, code, prototype, review, and troubleshoot platform components
Serve as technical voice to executive leadership, product team, Microsoft, and federal partners
Requirements
Bachelor’s degree in IT, related field, or equivalent experience
Collaborate closely with stakeholders and other engineers to develop new and unique data-driven solutions using Big Data platforms, creative analytical methods, and data visualization techniques (Data Modeling etc.)
Connect and build pipelines between various data sources
Support operational improvement and business decision making through ad-hoc statistical analysis of curated enterprise data and self-constructed data sets
Leading BI software development, deployment, and maintenance
Documenting contents in a data warehouse and meta-data storage
Technical authority for Microsoft Power Platform and Microsoft Fabric, focusing on governance, security, cost-effectiveness, and scaling while leading a technical team.
Compensation
Annual incentive scheme + regular salary reviews.
Responsibilities
Power Platform Governance: Own the environment strategy, DLP and connector policies, Managed Environments and the CoE Starter Kit. Run maker onboarding and app and flow lifecycle controls (inventory, ownership, archiving).
Fabric Platform Ownership: Own Fabric tenant settings, workspace and capacity design, and access models. Oversee Lakehouse and Warehouse standards, semantic model standards, and capacity monitoring.
ALM and release control: Set standards for solution-based development, source control and deployment pipelines across development, test and production for Power Platform and Fabric.
Data security and compliance: Apply sensitivity labels, data lineage and access reviews (Purview, Entra ID groups) in line with EML's risk and regulatory obligations.
AI and Copilot governance: Set guardrails for Copilot Studio agents and AI features across both platforms.