Senior Software Engineer developing high - quality software solutions and supervising junior developers in a hybrid role. Engage actively in agile ceremonies while contributing to the recruitment process.
About the role
- Tech Lead overseeing data architecture and analytics, leading data teams for automotive parts company. Focused on data-driven strategies and insights generation.
Responsibilities
- The Tech Lead / Data Architect will be the technical reference for building and evolving the company’s data and analytics architecture, ensuring the evolution of the data platform, scalability, governance, performance, and reliability, with a strong role in the “Horizonte Data-Driven Program — Data Intelligence and Predictive Insights”.
- This professional will be responsible for directing Data Engineering, Analytics, and Data Science teams, ensuring optimization of the data foundation and the delivery of actionable insights.
- Define and evolve end-to-end data architecture (ingestion, transformation, storage, semantic layer, and consumption).
- Provide technical leadership to the Data Analytics team, guiding best practices, standards, and architectural decisions.
- Design and maintain analytical data models (Data Warehouse, Data Lake, Lakehouse, Data Marts).
- Ensure data quality, governance, security, and observability.
- Lead the definition and standardization of the semantic layer (e.g., Power BI, Tableau, SSAS Tabular).
- Support decisions on scalability, performance, and cost of data solutions.
- Conduct technical reviews, POCs, and build vs. buy decisions.
- Act as guardian of best practices: version control (Git); CI/CD for data; observability and monitoring.
- Serve as a technical mentor, promoting the team’s professional development.
Requirements
- Education: Bachelor’s degree in Computer Science, Computer Engineering, Information Systems, or related fields. Postgraduate degree or MBA in Data Architecture, Business Intelligence, or related areas is a plus.
- Tools/Platforms: Expertise in Microsoft SQL Server (SSIS, SSAS, SSRS), Azure Data Factory, Azure Synapse Analytics, and Power BI. Knowledge of other data platforms (NoSQL, Big Data) and integration buses (MuleSoft) is a plus.
- Skills: Technical leadership, ability to operate with strategic and tactical vision, proactivity, strong analytical and communication skills, and ease working with multidisciplinary teams.
- Certifications: Microsoft certifications (Azure Data Engineer, Data Analyst, Database Administrator) and/or data architecture certifications are highly valued.
Benefits
- ALL PEOPLE ARE WELCOME in all our job openings, regardless of gender, sexual orientation, race/ethnicity, age, or disability.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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