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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data architecture design, hands-on technical leadership, and the ability to translate complex business requirements into effective data solutions. Proficient in data modeling, pipeline orchestration, and implementing CI/CD and DataOps practices to ensure high-quality data delivery.
Highest-signal resume keywords
Data Architecture DesignHands-On Technical LeadershipData Pipeline DevelopmentDatabricks ExperienceAdvanced SQL Skills
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data Architecture DesignData ModelingSQLPipeline OrchestrationWorkflow AutomationLakehouse ArchitectureData GovernanceData Quality StandardsCI/CD PracticesDataOps
Soft Skills
CommunicationCollaborationProblem-Solving
Tools & Technologies
DatabricksDelta LakeUnity CatalogDbtApache Airflow
Industry Keywords
Data IngestionData LineagePrivacy StandardsBusiness RequirementsNearshore Delivery Model
Tech Stack
Tools & technologiesAirflowApacheAWSSQLUnity
About the role
Key responsibilities & impact- Lead the data team technically, providing hands-on guidance to database specialists and developers
- Define and evolve target data architecture across ingestion, lakehouse design, data modeling, governance, and serving layers
- Translate business and technical requirements into workable solutions and select appropriate frameworks, patterns, and modeling approaches
- Collaborate with client architects and business leaders to present architectural options and trade-offs
- Record architectural decisions to establish a shared foundation for the team
- Establish and enforce standards for data quality, access control, data lineage, and privacy
- Incorporate CI/CD and DataOps practices to support consistent, reliable delivery
- Lead current-state data assessments and knowledge transfer during transitions
- Develop proofs of concept and prototypes to validate architectural approaches and demonstrate value
- Contribute to CI&T’s shared data methodologies and expertise across engagements
Requirements
What you’ll need- Advanced English proficiency (C1 level or above) — mandatory for direct, daily engagement with North American stakeholders
- Proven experience in data architecture design and hands-on technical leadership of multidisciplinary data teams
- Solid experience designing, building, and deploying data pipelines, lakehouse architectures, and data products at scale
- Hands-on experience with Databricks, including Delta Lake and Unity Catalog, or equivalent depth on AWS data services
- Strong data modeling skills across dimensional (Kimball) and relational approaches, with advanced SQL
- Experience with pipeline orchestration and workflow automation, such as dbt, Databricks Workflows, or Apache Airflow
- Ability to translate business problems into practical data solutions and communicate trade-offs to technical and non-technical audiences
- Ability to work in a nearshore delivery model with consistent overlap with US Central business hours
Benefits
Comp & perks- Health and dental insurance
- Meal and food allowance
- Childcare assistance
- Extended paternity leave
- Partnership with gyms and health and wellness professionals via Wellhub (Gympass) TotalPass
- Profit Sharing and Results Participation (PLR)
- Life insurance
- Continuous learning platform (CI&T University)
- Discount club
- Free online platform dedicated to physical, mental, and overall well-being
- Pregnancy and responsible parenting course
- Partnerships with online learning platforms
- Language learning platform
- Inclusion support and workplace accommodations for people with disabilities