Senior Manager, Data Services

This is a fully remote position, open to applicants in Peru.

📋 Description

• Lead a team of Data Services experts focused on designing, developing, and overseeing our Cloud Analytics Data Platform.

• Construct a contemporary cloud data architecture that includes a Data Lake, Pipelines for the ingestion and processing of batch and event data, Data Warehouses, and data lineage and cataloging.

• Implement system enhancements and adopt new technologies aimed at data storage, profiling, processing, management, security, and integration with business applications.

• Comprehend existing business applications to support information and solution architecture.

• Facilitate the creation of change management processes to regulate data input and maintenance, data stewardship, and access control.

• Collaborate with key stakeholders across the organization to develop and manage essential master data business processes, ensuring accurate data collection and maintenance.

• Create and own the procedure for evaluating and auditing data quality (establishing data quality KPIs, etc.) and guide the business on areas for improvement.

• Continuously seek opportunities for data optimization and oversee data management, governance, security, and analysis.

• Maintain a comprehensive understanding of workflows, data dependencies, and translate business, data, and reporting requirements into logical data structures.

• Recruit top talents, identify each team member's potential, and provide technical guidance, leadership, and advice on planning, designing, and implementing data solutions.

• Ensure that products/pipelines are test-driven, easily maintainable, and reusable.

• Design and construct an infrastructure for the extraction, transformation, and loading of data from a diverse range of data sources.

⛳️ Requirements

• A minimum of 5+ years of experience in managing, designing, and maintaining large-scale data solutions.

• An equivalent degree in Computer Science, Mathematics, Statistics, Information Systems, Informatics, Analytics, or another quantitative field.

• Experience in managing engineers and guiding them through project planning, design, development, quality control, deployment, and data engineering best practices.

• Strong understanding of building data pipelines, datasets, and data architecture from raw and unstructured data.

• Hands-on experience in analyzing and architecting/re-architecting data platforms on Azure/AWS/GCP.

• Experience in designing and implementing data ingestion solutions on Azure/AWS/GCP using various approaches.

• Must possess experience in designing and architecting data lakes on cloud platforms.

• Knowledge of data security best practices and experience in building secure data solutions.

• Advanced proficiency in SQL and experience with various relational databases, query languages, query authoring, and related tools.

• Familiarity with operating NoSQL clusters and event data stores.

• Strong problem-solving, analytical, critical thinking, and troubleshooting abilities.

• Extensive knowledge of AWS tools and technologies.

• Bilingual proficiency in Spanish and English.

🏝️ Benefits

• Health insurance

• Paid time off

• Flexible work arrangements

• Professional development