Data Architect
hace 7 meses
**About Konfío**
Konfío is a leading fintech company committed to driving innovation in the financial sector through technology. As we embark on a journey to leverage data more effectively and enhance our analytics capabilities, we are seeking a Data Solutions Architect to spearhead these initiatives. This role is crucial for transforming our data landscape, ensuring data integrity, and enabling advanced analytics and machine learning capabilities to support decision-making and product development.
**Role Description**
**Modularization**:
**Migrations**:
Work closely with Cloud, Cybersecurity, Platform and Resilience teams to build architecture transitions to a desired future state in a multi-region and multi-zone model. As well work with Data teams on the migration of database technologies and introduction of new ones. Consolidate an event-based platform for different use cases. Focusing on the data migration process, guaranteeing consistency and availability of data.
**Modernizations**:
Modernize the data transformation process, optimizing time and efficient use of resources. In addition, ensure the correct and specific procurement of data, during the process of data model separation, as part of the migration plans.
Modernize current Data solutions, ensuring that they adhere to reference architectures and patterns, ensuring that the use case in question has the correct architecture and solution.
Modernize the dependency of data processed by other areas of interest, ensuring that they consume the processed information, through efficient and easy access interfaces, guaranteeing the decoupling for dependencies with data sources.
**Bankalization**:
Detailed design and documentation for bank implementations and integrations with vendor providers in a middleware strategy decoupling strategy, while designing with data teams a comprehensive set of data integrations, ingestions, and reporting for financial and regulatory compliance.
**Product, Technology and Data Departments**
The Product, Technology and Data Departments are made of software development and operations activities organized as Tribes and Chapters, which contain Product, Cybersecurity, Architecture, Operations, Infrastructure, Engineering, IT and Operations responsibilities. This role will report to the Director of Technology and will work with business Stakeholders, Tribe and Chapter leaders on establishing architectures for initiatives, projects that cross-cut Chapter and Tribe's deliverables and dependencies. The Data Solutions Architect is the key reference on coaching and mentoring leaders and teams to the desired future state architecture. A successful Data Solutions Architect will be the person who can have good connections, communication and relationships with key stakeholders and leaders in Konfío, articulating and delivering sophisticated architectures, and enabling outstanding execution and delivery of building blocks, while enabling visual and contextual governance of the architecture and risk. Also experience with the Mexican market, regulatory bodies and culture is a must for this role.
**You have**:
- Bachelor’s degree in Computer Science, Information Technology, or related field
- 5+ years of experience as a Data Architect, with specific experience in the fintech and banking sectors
- Proven track record of leading data technology migrations and modernizations
- TOGAF or other relevant architecture certifications
- Expertise in data technologies, Data, Big Data, Data Protection, Data Governance and Cloud Data solutions.
- Proficient in SQL, DML, DDL, schema, data types optimizations.
- Experience designing and implementing ETL processes and workflows.
- Proficient in Python, Pandas, PySpark, Mapreduce, Flink, Hadoop.
- Good understanding of DataSets and DataFrames.
- Hands-on experience with Data Infrastructure services like: AWS Glue, AWS Lambda, SQL/NoSQL databases (AWS Aurora DB, DynamoDB, Neo4j, MongoDB), AWS Step Functions, Amazon SageMaker, AWS Event-Bridge, AWS Batch, Amazon EMR.
- Experience designing and implementing Data Products, through data consumption interfaces, like connectors, data catalogs, API.
- Proven track record of designing and developing Data Mesh, Medallion, LakeHouse Architectures.
- Strong Understanding of Data modeling, Integration, processing, streaming, consumption, orchestration strategies.
- Experience with DevOps practices, including Git and CI/CD pipelines, and GitOps Data Implementation
- Strong leadership and project management skills
- Excellent problem-solving abilities
- Effective communication and stakeholder management skills
- Ability to work collaboratively in a team environment and lead cross-functional teams
- Experience leading teams through long and complex technology migration and modernization programs, as well bank regulations, and very short duration initiatives as well
- Experience on improving productivity, while enabling quality, governance and security, as well as
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