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
Qualifications :
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
- Bachelors 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.
Remote Work :
Yes
Employment Type :
Full-time
OverviewSoftware 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 schedulesAn authentic work-life balancePayment in...
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
Qualifications :
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
- Bachelors 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.
Remote Work :
Yes
Employment Type :
Full-time
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