[8PV] Data Architect

We are Software Mind, an awesome team of engineers who are ready to ramp up any top-notch company’s projects! Our aim? To always be one step ahead. Become part of a multicultural company in constant growth with an excellent work environment certified by Great Place To Work!

Overview
Software Mind is seeking qualified candidates to fill the role of Data Architect.

In addition to a competitive salary rate and a positive work environment, we are committed to delivering high-quality technology solutions. We also offer:

• Flexible schedules
• An authentic work-life balance
• Payment in US Dollars

About the role:

We are seeking a Data Architect to design, implement, and maintain scalable and efficient data architectures across the entire organization. The ideal candidate will have experience in integrating disparate data systems, ensuring data governance, and aligning data strategies with defined business objectives.

#LI-DNI

Some of the main responsibilities for the role include: 

• Lead the design and architecture of complex data systems, ensuring alignment with business objectives, but moreover, industry best practices. 
• Collaborate with cross-functional teams, defining data requirements, developing data models, and establishing data governance frameworks.
• Evaluate and implement new data technologies and tools to enhance data processing capabilities and optimize performance. 
• Provide technical leadership and mentorship to junior data engineers and architects, fostering a culture of collaboration and continuous improvement. 
• Conduct thorough data analysis and profiling to identify trends, patterns, and opportunities for optimization. 
• Ensure data governance, security, and compliance with relevant regulations, implementing best practices in data management and protection. 
• Develop and enforce data quality standards across systems and data pipelines. 
• Ensure seamless data flow between systems and applications while ensuring scalability and performance.
• Establish data quality standards and monitor compliance across various data sources.

Job Skills/Requirements
- +90% English written and oral (at least B2 level) with excellent communication skills
- Bachelor’s degree in computer science or 8 – 10 years’ experience in data architecture, data engineering, or related fields
- Proven experience designing and implementing data models and warehouses using technologies such as Snowflake, Redshift, or BigQuery
- Experience with ETL (Extract | Transform | Load) Tools like Apache, NiFi, Talend, or Informatica
- Expertise in data modeling, database design, standardization principles, and system integration
- Familiarity with big data technologies, such as Hadoop, Kafka, or similar frameworks, as well as hybrid architectures.
- Strong proficiency in scripting languages (Python, R, or Scala) and SQL with experience using NoSQL databases (e.g., MongoDB, Cassandra).
- Strong understanding of data governance, data quality, and data lifecycle management. 
- Strong problem-solving skills and ability to align technical and business needs. 
- Familiarity with data streaming technologies such as Kafka or Kinesis.
- Knowledge of machine learning concepts and their application in data architecture.
- Relevant certifications in data architecture or cloud technologies.