Senior Data Engineer (LATAM)

POSITION:
Senior Data Engineer
LOCATION:
We will
only consider candidates legally
authorized
to work in the
Mexico, Guatemala, Peru, Colombia or Brazil
.
WORKPLACE TYPE:
Flexible hybrid working
environment
CLOSING DATE:
06 November 2026
JOB LEVEL:
15
POSITION SUMMARY:
At the Rainforest Alliance,
we believe
in the value of data collected at field and company level. With the increasing update of technologies, the amount of data produced will lead to an exponential amount and growth of available information. Unlocking the value of the information and linking it to informed decision-making will
enable
our
organization
in reaching the goal of a world where human and nature
thrive
in harmony.
Rainforest Alliance is building a Unified Data & AI-ready Platform on Databricks, Azure Data Lake Storage Gen2 and Power BI Premium, using a Bronze/Silver/Gold medallion architecture.
In order to progress to a singular platform, we are looking to onboard additional data engineering capability to support both the existing Azure SQL based services and the new platform, which is in pilot phase, as part of wider improvements to the hours of service that we provide to our global users - A working knowledge of both technologies is therefore required.
In addition
, to provide escalation cover and time zone management,
this role will
be responsible for the supervision of
a team of (
currently

3. data and data platform engineers.

You will
report to the Senior Manager
, Enterprise Data Platform.
WHAT
YOU WILL
DO:
Pipeline engineering:
Design, build and maintain
robust
, production-grade data pipelines and core platform components on Databricks / ADLS Gen2, following the Bronze/Silver/Gold medallion architecture.
Dimensional modelling:
Translate signed-off requirements into dimensional models and the queries that take consolidated raw data to the dimensional model.
Platform engineering:
Build the generic, reusable functions and production code that reproduce, at scale and across the organisation, the same output as the validated queries; Maintain and continue development of the existing SQL-based environment.
Reporting:
Support the design, development and enhancement of Power BI datasets, reports and dashboards; Provide support to report builders/owners in reviewing and optimising reports and datasets, to ensure accuracy, mantainability and performance.
Power BI Tenant Admin:
Support Power BI Premium lifeycle management processes, including user onboarding/offboarding, governance activities (including obsolete workspace and dataset/report cleanup), and performance monitoring/optimisation.
Data visualisation enablement:
Develop and support the data visualisation methodologies, views and extractions (e.g. Databricks views feeding Power BI).
Data quality:
Work with the Survey Design Specialists, BI Analysts and M&E Analysts to embed data quality checks and troubleshoot issues found.
Documentation
&
reproducibility:
Maintain clear, field-knowledge-free documentation of ingestion, transformation and modelling logic.
Collaboration:
Work
closely
with the Data Platform Lead, Tech, and Field Implementation to ensure engineering work stays aligned with the wider UDP architecture and governance model (Unity
Catalog
).
Leadership:
Matrix manage a small team (3-5) of data and data platform engineers, be accountable for escalations and ensure smooth transition between regional teams to support a follow-the-sun approach to project delivery and “business as usual” support.
WHAT YOU BRING:
Experience building and operating production data pipelines,
ideally
on Databricks (or a comparable Spark-based platform) and cloud data lake storage (ADLS Gen2, S3 or equivalent).
SQL and hands-on experience with dimensional modelling (star schema / Bronze-Silver-Gold or similar medallion patterns).
Experience building the data layer behind BI tools,
ideally
Power BI, including designing performant, well-governed semantic models and views.
Write clear technical documentation that a non-specialist reader can follow.
Comfortable working to formal
sign-off
gates (requirements, staging, production) and coordinating with analysts, survey and field teams rather than working in isolation.
Desirable:
Experience with survey/ODK-style data collection tools (e.g. Survey123, XLSForms).
Familiarity with data governance concepts (data catalogues, access control, e.g. Unity
Catalog
) in a multi-tenant or multi-partner data platform.
Python and PySpark for pipeline development and testing.
BENEFITS OF WORKING AT THE RAINFOREST ALLIANCE:
Be a part of a global
organization
with an impactful mission and a collaborative, respectful, and accountable culture.
Enjoy opportunities for professional growth and career development.
Benefit from remote working flexibility and
flexible hybrid working
environment.
A favourable time‑off policy.
Prioritize
your wellbeing. We have numerous ways to promote work-life balance.
Apply now and let's grow together. We look forward to hearing from you and exploring how your skills can help us
advance
our mission.
If you have any questions about the job vacancy, please contact the HR department:
<[email hidden]>
The Rainforest Alliance encourages diversity and inclusion across the global
organization
.
With this commitment to diversity, we are proud to be an equal opportunity employer and do not discriminate on the basis of gender, race, color, ethnicity, religion, sexual orientation, gender identity, ages, disability and any other protected group.