Senior Director – Client Data Solutions

Cielo Talent

Senior Director leading client data solutions at Cielo, managing data engineering, integration, and reporting teams. Ensuring high-quality data flow and integration for client reporting solutions.

Posted 5/21/2026full-timeRemote • Wisconsin • 🇺🇸 United StatesSeniorWebsite

Tech Stack

Tools & technologies

AirflowApacheAWSAzureDockerDynamoDBETLNoSQLPandasPostgresPythonRDBMSRedis

About the role

Key responsibilities & impact

Define and deliver the organization’s end-to-end client data ecosystem
Ensure seamless, scalable data flow from client environments into internal systems and productized data solutions
Own the design, delivery, and reliability of integrations that enable consistent, high-quality dashboards and reporting experiences
Lead, mentor, and scale Data Engineering, Integration Engineering, and Client Reporting teams
Define and execute the organization’s data integration and client data strategies
Establish KPIs to measure data platform performance, reporting adoption, data quality, and business impact
Partner with executive stakeholders to align data capabilities with business priorities
Drive technical direction for data architecture, integration patterns, and platform scalability
Oversee the design and delivery of scalable, reliable data integration pipelines
Establish best practices for data engineering, including testing, deployment, observability, and documentation
Ensure compliance with data governance, security, and regulatory requirements
Champion a data-driven culture across the organization

Requirements

What you’ll need

Bachelor’s degree in Computer Science, Information Systems, Data Science, or a related field strongly preferred
8+ years of experience in data engineering, data platforms, or integration roles
5+ years of experience leading technical teams, including managing managers
Deep experience with modern data architecture, ETL/ELT, and integration frameworks
Proven track record of delivering client-facing data solutions or data products at scale
Demonstrated ability to align technical solutions with business outcomes
Strong understanding of our core tech stack: AWS, Microsoft Azure, Apache Airflow, Docker, Python (Pandas), RDBMS (Snowflake, PostgreSQL), and NoSQL (Redis, DynamoDB)
Extensive experience with data modeling, ETL/ELT processes, and database technologies (Snowflake, PostgreSQL, NoSQL)
Experience with API design, development, and integration patterns
Experience working with AI/ML teams to support data requirements for model development and deployment
Track record of successfully delivering complex data integration projects that meet business requirements
Knowledge of data governance, security, and compliance requirements
Proficiency in data quality management and monitoring tools
Understanding of the full life cycle of project/program execution following established project management methodology

Benefits

Comp & perks

Health insurance
Remote work options

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data engineeringdata architectureETLELTdata modelingAPI designdata integrationdata quality managementPythondatabase technologies

Soft Skills

leadershipmentoringcollaborationstrategic alignmentcommunicationproject managementproblem-solvingdata-driven culture

Certifications

Bachelor’s degree in Computer ScienceBachelor’s degree in Information SystemsBachelor’s degree in Data Science