Senior Data Architect

Summary

Join MAS Global as a seasoned Data Architect to design and implement cloud-native data solutions. You will assess the current data architecture, define the future state, and collaborate with stakeholders to translate business needs into technical solutions. Responsibilities include designing data platforms for large datasets and ensuring data quality and governance. This role requires a Bachelor's or Master's degree in a related field, 9+ years of experience in data architecture, and 2+ years of cloud data architecture experience (preferably Azure). Strong programming skills in SQL and Python are essential. MAS Global values diversity and inclusion and offers a supportive work environment.

Requirements

• Bachelor’s or master’s degree (preferred) in computer science, Data Science, Information Technology, or a related field
• 9+ years’ experience in data architecture, data engineering, or a similar role with demonstrable experience in the IT services and consulting industry preferred
• 2+ years of experience in cloud data architecture (preferably Azure)
• Hands-on experience designing and implementing data solutions and pipelines using cloud technologies and modern data stack tools like Azure Synapse Analytics, Databricks, Snowflake, Airflow, etc
• Extensive knowledge of data warehousing/lake architectures, data modeling, data integration techniques, and big data processing frameworks
• Strong programming skills in SQL and Python, Java, or Scala
• Familiarity with data governance principles, data quality management, and data security best practices
• Problem-solving and communication skills to work with technical and business teams

Responsibilities

• Assess the current state of data architecture, solutions, principles, policies, and standards and identify areas for enhancement and optimization
• Define the future state data architecture, bridging strategic vision and technical execution focusing on the business strategy
• Collaborate with stakeholders and other capability team members to translate business requirements into technical specifications and scalable solutions
• Design and develop data platforms to ingest, store, process, and analyze large structured and unstructured data sets from sources like blobs, files, APIs, streaming, and DBs

Preferred Qualifications

• Architecture & data certifications that are cloud-related (Solutions Architect, Data Engineer Associate, Data Engineer Pro, etc)
• Experience working with visualization tools like Power BI, Looker, Tableau, etc
• Streaming exposure (Kafka, Spark Streaming, Apache Flink, Azure Event Hubs)