Senior Manager, Data Architecture

Responsibilities:

• Concentrate on the construction of marketing data integration applications such as CDP CRM and Data Middleware.

• Participate in early-stage architecture planning and implementation design for data application projects to ensure robust data architecture.

• Design and implement data processing workflows and ETL pipelines for big data integrating cleansing transforming processing modeling and designing databases and data flows. Assist data scientists in data analysis and modeling.

• Ensure accuracy completeness consistency availability security and privacy of diverse data sources.

• Collaborate with clients data departments in industries like retail finance telecommunications and e-commerce utilizing data engineering and data science foundations to provide data application support and solutions.

• Conduct requirement interviews architecture planning construction development and maintenance for data integration platforms and data warehouses.

• Research data technology tools perform proof-of-concept (POC) studies and validate feature capabilities.

Additional Requirements:

• Availability for client on-site service frequency to be determined.

• Over 3 years of experience in data engineering development possessing extensive knowledge of data engineering and data platform-related technologies. Proficiency in at least one programming language (such as Java or Python) relational databases and SQL syntax.

• Experience with data warehouse/data integration platform architecture planning requirement interviews model design and development/maintenance using commercial ETL tools (e.g. Trinity SSIS SAS Cloud Data Fusion Dataproc AWS Glue Databricks) or open-source ETL tools (Airflow NIFI dbt Apache Beam Apache Flink).

• Familiarity with data development and operational processes including CI/CD DevOps MLOps practices infrastructure as code containerization virtualization etc.

• Demonstrated capability in technical architecture planning and defining technical standards encompassing system architecture design data flow design technical feasibility assessment data storage and streaming evaluation.

• Effective collaboration with business and technical teams excellent understanding of business requirements and enthusiasm for programming.

• Strong problem-solving skills excellent teamwork and communication abilities a positive and proactive attitude.

• Practical experience in data architecture ETL data processing transformations and data analysis in industries such as retail finance telecommunications and e-commerce is a plus.