Chief Data Architect
hace 21 horas
At Talentus, we are expanding our team of experts who design and implement data architectures to drive business growth. We are a US company with a strong presence in LATAM and across 20 countries around the world. Our key near-shore BPO services include smart-sourcing, dedicated or cluster teams, managed IT services, software outsourcing, and top ERP & CRM solutions driven by our practices across various industries.
We are seeking a skilled Chief Data Architect to join our dynamic team. As a valuable addition, this professional will work closely with a multi-disciplinary agile team to build high-quality data pipelines driving analytic solutions. These solutions will generate insights from the organization's connected data, enabling the advancement of data-driven decision-making capabilities of the enterprise.
This role requires a deep understanding of data architecture, data engineering, data analysis, reporting, and a basic understanding of data science techniques and workflows. The ideal candidate is an experienced Data Architect with experience creating data products supporting analytics solutions. They should possess strong problem-solving skills, work effectively as part of a technical, cross-functional analytics team, and desire to solve complex data problems and deliver insights to enable analytics strategy.
The responsibilities of this position include:
- Designing, developing, and maintaining data pipelines to ingest, process, and store large volumes of structured and unstructured data from various sources.
- Implementing ETL (Extract, Transform, Load) processes to ensure data is transformed and loaded into data warehouses, data lakes, or other storage solutions.
- Creating data products for analytics and data scientist team members to improve their productivity.
- Maintaining comprehensive documentation for data pipelines, data models, and database configurations.
- Conducting training sessions and providing support to end-users and other team members on data access and usage.
This individual should be able to foster a culture of sharing, re-use, design for scale stability, and operational efficiency of data and analytical solutions. They should also develop and implement data quality checks, validation rules, and monitoring processes to ensure data accuracy and completeness.
Candidates must collaborate with data governance teams to establish and enforce data standards and best practices. Additionally, they should partner with business analysts and solutions architects to develop technical architectures for strategic enterprise projects and initiatives.
Key Skills and Qualifications:
- Domain Expertise:
- Bachelor's degree preferred; Computer Science, MIS, or Engineering preferred.
- 5+ years of experience working in data engineering or architecture role, 7+ preferred (3 years preferred for Jr. role).
- Significant experience developing and maintaining data warehouses in big data solutions (e.g., Snowflake, SAP Hana, Oracle, SQL Server, Teradata, etc.).
- Proficiency in programming languages such as Python, Java, Scala, or SQL.
- Experience developing and maintaining ETL/data pipelines (e.g., Microsoft SSIS, Azure Data Factory).
Salary: $110,000 - $140,000 per year
Benefits:
- Contractor model.
- 100% remote.
- Salary in USD.
- Paid vacations.
- Day off for birthdays.
- Benefits courses and/or certifications.
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