Overview
QSC is seeking a highly skilled Senior Data Engineer/Data Architect to design, build, and maintain our data infrastructure while also leading strategic architectural initiatives. This individual will play a pivotal role in shaping and executing QSC’s data architecture vision, ensuring scalability, security, and efficiency in managing our data resources.
This role will be responsible for architecting robust data solutions, while also executing hands-on data engineering tasks to optimize data pipelines, integrate microservices, and improve data accessibility. This role will support QSC’s mission of becoming a data-driven enterprise by providing high-quality, actionable data to business units, enhancing data governance, and promoting best practices in data management, middleware, and API integration.
Responsibilities
Execution Middleware, API, And Microservices Integration
Data Governance And Quality Assurance
Collaboration And Stakeholder Management
Qualifications
Minimum: Bachelor\u2019s Degree in Computer Science, Engineering, Information Systems, or a related field. Preferred: Master\u2019s Degree in Computer Science, Data Science, or equivalent technical discipline Experience
8+ years of hands-on experience in data engineering, data architecture, or related fields.
Proven experience in designing and managing large-scale data architectures in Azure cloud environments.
Deep experience in building and optimizing data pipelines, ETL processes, and data integration workflows.
Experience in designing and deploying microservices architecture and API-driven solutions.
Strong experience with both SQL and NoSQL databases, data warehousing, and data lakes.
Proven track record of successfully leading data architecture initiatives in mid-to-large scale enterprises.
Experience with data governance and regulatory compliance frameworks.
Knowledge And Skills
Deep expertise in database technologies (SQL, NoSQL), data modeling (e.g., Star Schema, Snowflake), and distributed data systems (e.g., Hadoop, Spark).
Strong proficiency in Azure cloud-based data solutions and related infrastructure (Azure, MS Fabric, Azure Synapse, and Databricks.)
Expertise in ETL/ELT frameworks and tools.
Strong coding skills in languages like Python or Scala for building and optimizing data pipelines.
Expertise in building and securing RESTful APIs, as well as integrating with APIs from third-party services.
Strong familiarity with microservices architecture and how to design for scalability, resiliency, and modularity.
Experience working with middleware solutions and integrating legacy systems into modern data architectures.
Familiarity with API security best practices (OAuth, JWT, etc.) and monitoring solutions.
Excellent problem-solving skills and ability to design creative, scalable data solutions.
Strong communication skills with the ability to explain complex technical solutions to business stakeholders.
Experience in developing strategies for data quality, data security, and disaster recovery.
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