**The Role:** We are looking for a **Data Architect with strong expertise in mobile ecosystems** to design, implement, and optimize data solutions that power our mobile applications and analytics platforms. This role will ensure that data flows seamlessly from mobile clients through backend systems, enabling advanced insights, personalization, and product innovation. You will collaborate closely with mobile engineers, backend teams, data engineers, and product managers to build scalable, secure, and high\-performance data architectures tailored to mobile use cases. **Responsibilities:** ###### **Data Architecture \& Strategy** * Define and implement end\-to\-end data architecture strategies for mobile applications. * Ensure data models and pipelines are optimized for **mobile\-specific challenges**, including limited bandwidth, offline\-first experiences, and real\-time synchronization. * Establish governance, security, and compliance frameworks for mobile data. ###### **Data Engineering \& Integration** * Design and oversee scalable data ingestion, transformation, and storage pipelines from mobile applications. * Integrate mobile telemetry, usage analytics, crash reports, and event tracking into centralized data platforms. * Implement best practices for schema design, metadata management, and master data management. ###### **Mobile Data \& Analytics Enablement** * Collaborate with mobile developers to embed efficient **data collection SDKs and APIs** (Firebase, Segment, Mixpanel, Amplitude, etc.). * Ensure seamless flow of event and user behavior data into BI tools and machine learning pipelines. * Partner with data science teams to enable **real\-time personalization and recommendation engines**. ###### **Infrastructure \& Performance** * Architect and optimize **data warehouses, data lakes, and streaming solutions** (Snowflake, BigQuery, Redshift, Databricks, Kafka, etc.). * Enable scalable **real\-time analytics** for mobile app performance and engagement. * Balance **cost, performance, and reliability** in cloud\-native data architectures. ###### **Collaboration \& Leadership** * Serve as the data architecture subject matter expert for mobile initiatives. * Mentor engineers and analysts in data architecture principles and best practices. * Work cross\-functionally with engineering, product, and compliance teams to align on data strategy. **Requirements:** * **Education \& Experience** + Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field. + 7\+ years of experience in **data architecture, data engineering, or related roles**. + Proven track record designing and scaling **data solutions for mobile applications**. * **Technical Skills** + Strong knowledge of data modeling, database systems (SQL \& NoSQL), and distributed systems. + Expertise in **cloud data platforms** (AWS/GCP/Azure) and data warehousing solutions. + Experience with **mobile analytics platforms** (Firebase, Segment, Mixpanel, Amplitude). + Proficiency in streaming and event\-driven architectures (Kafka, Kinesis, Pub/Sub). + Strong background in **ETL/ELT orchestration** (Airflow, dbt, Dagster). + Knowledge of **data privacy and compliance** frameworks (GDPR, CCPA). * **Soft Skills** + Excellent communication skills and ability to bridge technical and business needs. + Strong problem\-solving and analytical mindset. + Leadership presence and ability to drive consensus across stakeholders. ##### **Nice\-to\-Have** * Experience with **AI/ML pipelines for mobile personalization**. * Background in **edge data processing** or federated learning for mobile. * Knowledge of **mobile security practices** in data flows (encryption, secure storage). * Familiarity with **real\-time A/B testing and experimentation platforms** for mobile. **C \- ST \- 15092025** Wakapi Web