About The Role In this role, you will design and deliver end-to-end data architectures on Azure for enterprise-scale data platforms and translate business needs into scalable, secure, and high-performance data solutions.

Responsibilities Lead architecture design and decision-making, defining standards, patterns, and best practices

Collaborate with stakeholders to drive requirements gathering, data modeling, and solution design

Support and guide engineering teams in implementing data pipelines and platform components

Contribute to pre-sales activities, including workshops, solution envisioning, and proposal creation

Build and evolve data platforms, including ingestion, transformation, storage, and serving layers

Ensure data governance, quality, and security standards across the platform

Participate in the full project lifecycle, from PoC through MVP to full-scale implementation

Explore new technologies, build prototypes, and contribute to the Big Data community Requirements Hands-on expertise in building large-scale data platforms, migrations, and decision-support systems

Knowledge of designing and implementing modern data architectures (DWH, lakehouses, streaming, real-time, event-driven processing)

Experience with Azure data ecosystem, including services such as Microsoft Fabric, Azure Synapse, Data Factory, ADLS Gen2, Cosmos, Azure SQL, Databricks, and Azure Stream Analytics

Familiarity with SQL and Python (PySpark)



for designing and optimizing data solutions

Experience in translating business requirements into scalable architecture and implementation roadmaps

Openness for acting as a customer-facing consultant, presenting architecture decisions, and leading technical discussions

Readiness for leading and mentoring data engineering teams, providing technical direction, and ensuring best practices

Knowledge of data governance, security, and data management frameworks across modern data platforms

Familiarity with streaming and real-time processing (e.g., Kafka, Event Hub, Spark Structured Streaming)

Hands-on experience in SDLC and software engineering best practices (CI/CD, version control, testing) applied to data platforms

Proficiency in supporting pre-sales activities, including discovery, solution shaping, and high-level estimations

Working proficiency in English, with excellent communication and presentation skills in a multicultural environment SoftServe is an equal opportunity employer. Qualified applicants will receive consideration regardless of race, color, ancestry, ethnicity, national origin, religion, sex, sexual orientation, gender identity or expression, age, citizenship, disability, health condition, marital or family status, veteran status, or any other characteristic protected by applicable law.

📌 Big Data Architect (Azure) (Colombia)
🏢 SoftServe
📍 Colombia