At
Sequoia Connect , we are a
Talent-First Technology Ecosystem
that redefines how elite professionals interact with the global digital landscape. We move beyond traditional models to act as a catalyst for the top 1% of integral talent, connecting human potential with complex industrial execution. By joining our inner circle, you are not simply taking a position; you are aligning with a strategic partner dedicated to updating your "Human OS" and accelerating your growth through world-class, high-impact projects.
We are currently partnering with a global IT powerhouse that represents the connected world through innovative, customer-centric experiences. As a USD 6 billion organization and one of the top 7 IT service providers globally, our client empowers over 1,200 global customers—including several Fortune 500 companies—to "RiseTM." With a massive network of 163,000+ professionals across 90 countries, they are at the absolute forefront of digital transformation, leveraging next-generation technologies such as 5G, AI, Blockchain, and Quantum Computing.
This is your chance to thrive in a workplace recognized as one of the most sustainable corporations in the world. You will join an environment that values innovation and societal impact, working on end-to-end digital transformation projects for global leaders. If you are a driven professional looking for global career opportunities and exposure to high-impact projects within an international network of expertise, this is where you belong. We are currently searching for a
Solution Data Engineer Sr: Responsibilities: Full management of the Databricks environment , including configuration and workspace administration. Implement data governance
using
Unity Catalog
and manage structured storage with
Delta Lake tables . Write and optimize data processing logic
using
Python, SQL, and PySpark . Manage data architecture and performance
within
Snowflake .



Handle Adobe Data Feeds and Adobe Analytics , ensuring correct ingestion and transformation of marketing data. Oversee data warehousing operations
in
Amazon Redshift . Schedule and monitor complex data workflows
using
Airflow . Own end-to-end maintenance of data pipelines , ensuring reliability from ingestion to delivery across multiple cloud platforms. Manage code lifecycle
and collaborative development using
Git . Requirements: Advanced proficiency in the Databricks Ecosystem
(Workspace admin, Delta Lake, Unity Catalog). Expertise in Data Warehousing & Integration , specifically with
Snowflake . Strong development skills in Python, SQL, and PySpark. Hands-on experience with Adobe Data Ingestion
(Data Feeds/Analytics). Solid experience in version control
using
Git . Desired: Experience with Amazon Redshift
for data warehousing operations. Proficiency in orchestration tools , specifically
Airflow . Familiarity with Google Cloud Platform (BigQuery)
operations. Knowledge of AWS Data Services
such as
Athena
and
AWS Glue . Languages Advanced Oral English. Advanced Spanish. Note: Fully remote
If you meet these qualifications and are pursuing new challenges,
start your application on our website
to join an award-winning employer. Explore all our job openings |
Sequoia Career's Page : Requirements: Advanced proficiency in the Databricks Ecosystem
(Workspace admin, Delta Lake, Unity Catalog). Expertise in Data Warehousing & Integration , specifically with
Snowflake . Strong development skills in Python, SQL, and PySpark. Hands-on experience with Adobe Data Ingestion
(Data Feeds/Analytics). Solid experience in version control
using
Git . Experience with Amazon Redshift
for data warehousing operations. Proficiency in orchestration tools , specifically
Airflow . Familiarity with Google Cloud Platform (BigQuery)
operations. Knowledge of AWS Data Services
such as
Athena
and
AWS Glue .

📌 Solution Data Engineer Sr. (Durango)
🏢 Sequoia Connect
📍 Durango