Data Architect – Dynamic Pricing, Decision Intelligence

Job not on LinkedIn

November 18

Apply Now

Receive Emails with Similar Jobs

TechBiz Global

WebsiteLinkedInAll Job Openings

Recruitment • Software Development • Consulting

TechBiz Global is a leading recruitment and software development company that specializes in connecting businesses with top-tier talent across 28+ countries. They serve clients from startups to major enterprises, providing expertise in hiring key roles in industries such as FinTech. In addition to talent acquisition, TechBiz Global offers comprehensive software development services to turn clients' visions into reality, powering digital transformations with expert engineers. The company also provides strategic CTO consulting services and flexible outstaffing and outsourcing solutions, helping businesses manage growth and optimize technology processes. Recognized as a top IT recruitment and consulting firm, TechBiz Global is dedicated to delivering personalized and innovative solutions to its clients, ensuring they have the tools necessary for success.

51 - 200 employees

🎯 Recruiter

📋 Description

• Design and govern the complete data ecosystem for the ValueX platform • Define the data architecture blueprint supporting core modules • Ensure scalability to handle 50 million+ customer profiles, real-time event streams, and ML-driven decisioning • Establish logical, physical, and semantic data models for segmentation, scoring, and orchestration • Build data ingestion pipelines from multiple telco sources and define real-time event ingestion patterns • Define and enforce data quality, lineage, catalog, and access policies • Optimize compute/storage balance across environments and monitor query performance • Collaborate with Data Engineers, Data Scientists, Application Developers, and business stakeholders • Lead architecture review boards and maintain data design documentation

🎯 Requirements

• 10+ years in Data Architecture and Data Platform Design • Data Architecture-Data lakehouse design, data modeling (dimensional, normalized, semantic), schema management. • ETL/ELT & Orchestration-Databricks, Snowflake, dbt, Airflow, AWS Glue, Azure Data Factory. • Streaming & Real-Time-Apache Kafka, Spark Streaming, Kinesis, Flink • Data Modeling-Customer 360, Offer 360, Transaction 360, Feature Store • Cloud Platforms-AWS (S3, Glue, Lambda, EMR), Azure (ADF, Synapse), or GCP (BigQuery, Dataflow) • Storage & Compute-Delta Lake, Parquet, Iceberg, Snowflake • Data Quality & Governance-Great Expectations, Deequ, DataHub, Collibra • Programming & Scripting-Python, SQL, PySpark, YAML • API & Integration Design-REST, GraphQL, Kafka Connect, JSON schema • Security & Compliance-IAM, encryption (KMS), access control, masking, PDPA compliance • Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related fields. • Certifications in AWS/Azure Data Architect, Databricks Certified Data Engineer, or Snowflake Architect are preferred.

🏖️ Benefits

• Health insurance • 401(k) matching • Flexible work hours • Paid time off • Professional development opportunities