Data Engineer role specializing in Azure & Snowflake at InfoCentric. Leading design and delivery of enterprise - scale data platforms for large organizations.
About the role
- Staff Data Engineer at Apply Digital scaling data capabilities across engineering, analytics, MarTech, and AI. Collaborating with clients to design end-to-end data solutions and implement advanced analytics.
Responsibilities
- Design and build scalable data pipelines, architectures, and analytics solutions
- Deliver end-to-end data solutions across ingestion, modeling, and activation
- Integrate data across CDPs, CRM, and media platforms to enable marketing use cases
- Translate business requirements into technical solutions and implementation plans
- Define and apply data architecture standards (modeling, governance, security)
- Optimize data platforms for performance, scalability, and cloud best practices
- Ensure data quality, reliability, and compliance across systems
- Develop and enable analytics frameworks (measurement, attribution, funnel analysis) to support data-driven decision making
- Lead and mentor a team of data resources in designing, creating, and maintaining scalable data pipelines, architectures, and analytics solutions.
- Ensure the team's solutions utilize Cloud services effectively by optimizing data architectures for performance and scalability.
- Apply advanced analytics and machine learning techniques (e.g., segmentation, predictive modeling) and implement AI-driven data solutions (e.g., LLMs, RAG, automation) to enhance insights, decisioning, and business outcomes.
- Champion the development and implementation of data architecture frameworks, standards, and principles, covering modeling, metadata, security, and reference data.
- Promote continuous learning within the team, staying ahead of emerging technologies and methodologies in data engineering and analytics.
Requirements
- A Bachelor's degree in Computer Science, Information Systems, or a related field.
- At least 7 years of experience in data engineering, analytics or measurement with a proven track record of leading data teams.
- Expertise in Analytics solution, SQL, ETL, data warehousing technologies, and extensive hands-on experience with Cloud services.
- Demonstrated experience in data modeling, analysis techniques, and implementing data management best practices.
- Experience with data activation on media platforms using data integrations and Customer Data Platforms (CDP).
- Excellent communication and problem-solving skills, with the ability to lead client-facing discussions and presentations.
- Previous experience in a client-facing role, with a strong understanding of Data Analytics practices.
- Experience in data science or advanced analytics.
Benefits
- benefit from private healthcare coverage
- contributions to your Provident fund
- a gratuity bonus after five years of service
- flexible personal time offer (PTO)
Job title
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