Data Architect

Data Architect

Job id: QX013

About QX:

The QX Impact was launched with a mission to make A.I accessible and affordable and deliver AI Products/Solutions at scale for the enterprises by bringing the power of Data, AI, and Engineering to drive digital transformation. We believe without insights; businesses will continue to face challenges to better understand their customers and even lose them.

Secondly, without insights businesses won't be able to deliver differentiated products/services; and finally, without insights, businesses can’t achieve a new level of “Operational Excellence” is crucial to remain competitive, meeting rising customer expectations, expanding markets, and digitalization. 

Job Summary:

We seek a highly experienced Data Architect (10+ years) to design, build, and manage scalable data architectures supporting enterprise data needs. The ideal candidate will have a strong background in data engineering, cloud platforms, master data management (MDM), and big data technologies, ensuring data integrity, governance, and security. This role involves collaborating with cross-functional teams to design efficient data solutions and drive industry best practices.

Key Responsibilities:

Data Architecture & Modeling:

• Design scalable and high-performance data architectures, including data lakes, data warehouses, and data marts.
• Develop logical and physical data models to support analytics, reporting, and operational needs.
• Define and implement Master Data Management (MDM) solutions to maintain data consistency across systems.

Data Integration & Engineering:

• Develop data ingestion, ETL, and transformation pipelines for structured and unstructured data.
• Implement real-time and batch data processing using Apache Spark, Apache Flink, or Kafka Streams.
• Ensure seamless integration across cloud and on-premises data environments.

Data Governance & Security:

• Define data governance frameworks and ensure compliance with industry regulations (GDPR, HIPAA, etc.).
• Establish data quality standards and implement monitoring strategies to maintain data integrity.
• Implement robust data security measures, including encryption, access control, and auditing mechanisms.

Technology & Performance Optimization:

• Evaluate, recommend, and implement cutting-edge data technologies, tools, and platforms.
• Monitor and optimize performance, reliability, and cost-efficiency of data processing and storage solutions.
• Establish best practices for data lifecycle management, CI/CD pipelines, and cloud cost optimization.

Collaboration & Leadership:

• Work closely with Data Engineers, Scientists, BI Analysts, and IT teams to translate business needs into scalable data solutions.

Required Skills and Experience:

• Bachelor’s degree in computer science, Mathematics, Engineering, or a related field.
• 10+ years of experience in Data Architecture, Data Engineering, or related roles.
• Hands-on experience with cloud data platforms (Azure, AWS,), including services like Azure Fabric, Databricks, AWS Redshift
• Strong expertise in data modeling (dimensional, normalization, denormalization).
• Proficiency in SQL, Python, Scala, or Java for data processing and transformations.
• Experience with big data frameworks like Apache Spark, Flink, Hadoop, or Kafka.
• Deep knowledge of ETL/ELT tools (ADF, Apache NiFi, Airflow).
• Experience in containerization (Docker, Kubernetes) and microservices-based architectures.
• Strong understanding of streaming data solutions (Azure Event Hubs, Kafka, AWS Kinesis).
• Proven experience in data governance, metadata management, and master data processes.
• Experience with CI/CD pipelines, automation, and infrastructure as code (Terraform, CloudFormation).

Preferred Skills & Certifications:

• Experience with AI/ML model integration into data pipelines.
• Certification in Azure, AWS, (e.g. Azure Data Engineer, AWS Certified Solutions Architect).
• Knowledge of event-driven architectures and real-time analytics.

Personal Attributes:

• Strong problem-solving skills with a passion for data architecture.
• Excellent communication skills with the ability to explain complex data concepts to non-technical stakeholders.
• Highly collaborative, capable of working with cross-functional teams.
• Ability to thrive in a fast-paced, agile environment while managing multiple priorities effectively.

Why Join Us?

• Be part of a collaborative and agile team driving cutting-edge AI and data engineering solutions.
• Work on impactful projects that make a difference across industries.
• Opportunities for professional growth and continuous learning.
• Competitive salary and benefits package.

Application Details

Ready to make an impact? Apply today and become part of the QX Impact team!