Senior Data Platform Engineer

Solvd, Inc.; Antioquia; Presencial; COP 120.000.000 - 180.000.000; Jornada completa

Descripción de la vacante

Solvd Inc. is seeking a Senior Data Platform Engineer to join an engagement building data pipelines and lakehouse architecture for a scientific data cloud platform — purpose-built for biopharma.

You will turn raw instrument output from lab equipment into harmonized scientific data that accelerates research outcomes, working end-to-end with customers. This role focuses on prototyping pipelines, building data models, and shipping production-grade solutions.

Formación

• 5+ years of professional experience in Python and SQL.
• Hands-on experience with Databricks Lakehouse on AWS.
• Strong working knowledge of AWS Redshift — hands-on experience required.
• Experience across the AWS data stack: ECS, S3, Athena, RDS.
• Proficiency with ETL/ELT pipeline development using Airflow and Python.
• Experience with relational databases — MySQL, MariaDB, Aurora, PostgreSQL, MS SQL Server.
• Familiarity with key-value and non-relational databases.
• Excellent communication skills and the confidence to take ownership of project delivery end-to-end.
• Able to manage multiple simultaneous projects without losing quality or attention to detail.
• Genuine curiosity — learning new scientific domains and instrument ecosystems continuously.

Responsabilidades

• Own, prototype, implement, and deploy DataBricks Lakehouse pipelines on AWS.
• Research and prototype data acquisition strategies for scientific lab instrumentation.
• Build file parsers for instrument output files across formats — .xlsx, .pdf, .txt, .raw, .fid, and vendor-specific binaries.
• Design and build data models, Python data pipelines, unit tests, integration tests, and utility functions.
• Work directly with customers to validate that solutions meet their requirements and solve real scientific needs.
• Facilitate internal project post-mortems to identify and apply improvements across engagements.

Conocimientos

Python

SQL

Databricks

AWS

Airflow

ETL/ELT

Relational DBs

NoSQL

Communication

Educación

Bachelor's or master's in CS/related field

Herramientas

S3

Athena

ECS

RDS

Descripción del empleo

Solvd Inc. is a rapidly growing AI-native consulting and technology services firm delivering enterprise transformation across cloud, data, software engineering, and artificial intelligence. We work with industry-leading organizations to design, build, and operationalize technology solutions that drive measurable business outcomes.

Following the acquisition of Tooploox, a premier AI and product development company, Solvd now offers true end-to-end delivery—from strategic advisory and solution design to custom AI development and enterprise-scale implementation. Our capability centers combine deep technical expertise, proven delivery methodologies, and sector-specific knowledge to address complex business challenges quickly and effectively.

We are looking for a Senior Data Platform Engineer to join an engagement building data pipelines and lakehouse architecture for a scientific data cloud platform — purpose-built for biopharma. You'll be working at the intersection of data engineering and life sciences, turning raw instrument output from lab equipment into harmonized, actionable scientific data that accelerates research outcomes.

This is hands-on, end-to-end engineering work: prototyping pipelines, parsing proprietary instrument file formats, designing data models, and shipping production-grade solutions directly with the customer.

What you'll do

Own, prototype, implement, and deploy DataBricks Lakehouse pipelines on AWS.

Research and prototype data acquisition strategies for scientific lab instrumentation.

Build file parsers for instrument output files across a wide range of formats — .xlsx, .pdf, .txt, .raw, .fid, and vendor-specific binaries.

Design and build data models, Python data pipelines, unit tests, integration tests, and utility functions.

Work directly with customers to validate that solutions meet their requirements and solve real scientific needs.

Facilitate internal project post-mortems to identify and apply improvements across engagements.

What you bring

5+ years of professional experience in Python and SQL.

Hands-on experience with Databricks Lakehouse architecture on AWS.

Strong working knowledge of AWS Redshift — hands-on experience required.

Experience across the AWS data stack: ECS, S3, Athena, RDS.

Proficiency with ETL/ELT pipeline development using Airflow and Python.

Experience with relational databases — MySQL, MariaDB, Aurora, PostgreSQL, MS SQL Server.

Familiarity with key-value and non-relational databases.

Excellent communication skills and the confidence to take ownership of project delivery end-to-end.

Able to manage multiple simultaneous projects without losing quality or attention to detail.

Genuine curiosity — this role requires learning new scientific domains and instrument ecosystems continuously.

Nice to have

Elasticsearch experience.

Background in or exposure to scientific instrumentation, lab workflows, or biopharma data.

Graduate degree in Chemistry, Biology, Computer Science, Statistics, Public Health, or a related field.

Experience parsing proprietary binary file formats from lab instruments.

Shape real-world AI-driven projects across key industries, working with clients from startup innovation to enterprise transformation.

Be part of a global team with equal opportunities for collaboration across continents and cultures.

Thrive in an inclusive environment that prioritizes continuous learning, innovation, and ethical AI standards.

Ready to make an impact?

An AI-first advisory and digital engineering firm that guides brands through digital transformation and delivers measurable impact | Solvd