Step into a strategic leadership role where your ideas shape the future of cloud data innovation. Join a fast-growing Snowflake and cloud-native consulting partner as the
Senior Director of Data Engineering for LATAM.
You'll lead high-impact data initiatives, guide technical strategy for key accounts, and elevate engineering excellence across the region. This remote position allows you to connect with teams from Brazil and Mexico while driving impactful data initiatives that propel business growth.
What You'll Do:
Lead Regional Data Engineering:
Manage and mentor teams across LATAM, fostering innovation, growth, and consistent technical excellence.
Own Technical Delivery:
Oversee end-to-end solution delivery for strategic accounts, ensuring high-quality, scalable Snowflake and cloud data platforms.
Drive Strategy & Growth:
Partner with Sales and executive stakeholders to identify opportunities, expand services, and deliver long-term customer value.
Be a Trusted Advisor:
Provide clear, actionable guidance on modern data architectures, cloud-native patterns, and platform maturity.
Cross-Functional Collaboration:
Work closely with teams in Brazil, Mexico, and global delivery to ensure alignment and successful outcomes.
Uplift Talent:
Coach engineers, architects, and account teams in both technical depth and communication excellence.
Extreme Ownership:
Proactively solve complex challenges, ensure accountability, and champion customer success.
What Makes You a Great Fit:
Proven record of
high-performance delivery
in complex cloud data environments.
Strong ability to
simplify technical complexity
and influence architecture decisions.
Customer-obsessed
, entrepreneurial, and proactive approach to driving outcomes.
Inspiring leader who grows people, builds trust, and elevates team capabilities.
Thrives in a fast-moving, rapidly scaling consultancy supporting Snowflake and cloud ecosystems.
Required Experience:
10+ years as a hands-on Solutions Architect or Data Engineering leader.
2+ years consulting leadership with external clients.
Expertise designing and delivering production-grade solutions across
Snowflake, AWS, Azure, GCP, or Databricks.
Strong Python, SQL, and experience building scalable pipelines and integrations
Demonstrated success managing Data Engineers and Solution Architects across distributed teams
Prior Revenue Generation experience for Enterprise clients.
Experience shaping technical strategy, roadmaps, and long-term customer partnerships
Excellent communication, stakeholder management, and client-facing presentation skills
Ability to create detailed technical artifacts (POCs, roadmaps, architecture docs, diagrams)
Bachelor's degree in Computer Science or related field preferred
Technical Strengths (One or More):
Cloud data platforms: Snowflake, AWS, Azure, GCP, Databricks
Storage & distributed systems: S3, ADLS, HDFS, GCS, NoSQL stores
Data integration: Spark, Kafka, Streamsets, Matillion, Fivetran, NiFi, ADF, DMS, IICS
Multiple data source ingestion: APIs, databases, files, queues
Automated transformation: dbt, Spark, streaming pipelines
Orchestration: Airflow, Managed Airflow, Luigi, NiFi
Methodologies: Agile, Kimball, Data Vault