Data Architect/Engineer

About the Role

We are seeking an experienced Data Architect/Engineer to join our team and solve complex data challenges. As our Data Architect/Engineer, you will be responsible for designing, implementing, and optimizing our data infrastructure and pipelines. This role requires strong problem-solving abilities, technical expertise with data technologies, and a deep understanding of data modeling and architecture principles.

Key Responsibilities

Design and implement scalable data architecture solutions to address business requirements

Develop and maintain efficient ETL/ELT processes and data pipelines

Create and optimize database schemas, data models, and storage solutions

Identify and resolve data quality issues, performance bottlenecks, and system limitations

Collaborate with cross-functional teams to understand data needs and deliver solutions

Implement data governance policies, security measures, and compliance standards

Evaluate and integrate new data technologies and tools as needed

Troubleshoot complex data problems and develop innovative solutions

Document data flows, architectures, and processes

Mentor team members on data engineering best practices

Requirements

Minimum 5 years of experience in data engineering or architecture roles

Strong problem-solving skills with proven ability to tackle complex data challenges

Extensive experience with database design, data modeling, and SQL optimization

Proficiency in data integration and ETL/ELT processes

Experience with cloud-based data platforms (AWS, or GCP)

Knowledge of data warehousing concepts and technologies

Ability to translate business requirements into technical specifications

Strong communication skills to explain technical concepts to non-technical stakeholders

Bachelor's degree in Computer Science, Information Systems, or related field (or equivalent experience)

Preferred Qualifications

Experience working in a SaaS environment

Experience building data pipelines that connect platforms with internal systems

Technical Skills

Advanced SQL (multiple database platforms)

Data modeling and database design

ETL/ELT tools and frameworks

Data warehousing technologies

Cloud data services

Programming languages (Python, Java, or similar)

Big data technologies (Hadoop, Spark, etc.)

Data visualization tools

Experience with data governance and security

Version control systems and CI/CD pipelines for data

SaaS application data architecture and integration patterns