Principal Data Architect Job at Wingify

Principal Data Architect

Wingify

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Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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Job Description:

We are seeking a Principal Data Architect to lead our Data Platforms Team and drive innovation in data engineering, analytics, and governance. As a Principal Data Architect, you will be responsible for leading the design, development, and scaling of our data infrastructure. You will collaborate with product managers, data scientists, and engineers to ensure our data pipelines and architectures are robust, scalable, and aligned with business objectives. The role requires a strong background in backend development, data processing, and scalable architecture design.

Job Responsibility:

Lead and mentor a team of data engineers, ensuring high performance and career growth
Architect and optimize scalable data infrastructure, ensuring high availability and reliability
Drive the development and implementation of data governance frameworks and best practices
Work closely with cross-functional teams to define and execute a data roadmap
Optimize data processing workflows for performance and cost efficiency
Ensure data security, compliance, and quality across all data platforms
Foster a culture of innovation and technical excellence within the data team

Requirements:

12+ years of experience in software/data engineering, with at least 3+ years in a leadership role
Expertise in backend development with programming languages such as Java, PHP, Python, Node.JS, GoLang, JavaScript, HTML, and CSS
Proficiency in SQL, Python, and Scala for data processing and analytics
Strong understanding of cloud platforms (AWS, GCP, or Azure) and their data services
Strong foundation and expertise in HLD and LLD, as well as design patterns, preferably using Spring Boot or Google Guice
Experience in big data technologies such as Spark, Hadoop, Kafka, and distributed computing frameworks
Hands-on experience with data warehousing solutions such as Snowflake, Redshift, or BigQuery
Deep knowledge of data governance, security, and compliance (GDPR, SOC2, etc.)
Experience in NoSQL databases like Redis, Cassandra, MongoDB, and TiDB
Familiarity with automation and DevOps tools like Jenkins, Ansible, Docker, Kubernetes, Chef, Grafana, and ELK
Proven ability to drive technical strategy and align it with business objectives
Strong leadership, communication, and stakeholder management skills

Nice to have:

Experience in machine learning infrastructure or MLOps is a plus
Exposure to real-time data processing and analytics
Interest in data structures, algorithm analysis and design, multicore programming, and scalable architecture
Prior experience in a SaaS or high-growth tech company

What we offer:

Work on cutting-edge data technologies and large-scale distributed systems
A remote-friendly work environment with flexible working hours
A culture of innovation, learning, and open communication
Competitive compensation, benefits, and growth opportunities

Additional Information:

Job Posted:
January 02, 2026

Employment Type:

Fulltime

Work Type:

Remote work

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