Data Engineering Manager

Job Summary

As a Data Engineering Manager, you will define the end-to-end architecture and long-term roadmap for vidaXLs enterprise data platforms, analytical systems, AI/ML/Data Science capabilities, and cross domain data integrations. You will ensure the Data Analytics ecosystem is scalable, secure, governed, automation ready, and fully aligned with business strategy and future growth.

Location

Location: Hyderabad, Nederland.

Responsibilities

• Define the enterprise-wide Data Analytics architecture project roadmap across ingestion, transformation, storage, governance, reporting, and AI/ML/Data Science.

• Own the architecture for the GCP based data platform, including BigQuery, Cloud Functions, orchestration, and automation frameworks.

• Configure data pipelines to ingest data from multiple business systems via APIs, Cloud SQL, scripts, FTP/SFTP etc.

• Architect, define, plan, execute deliver the future-state data infrastructure on GCP and BigQuery for optimized performance and scalability.

• Design scalable data models, datamarts, semantic layers, and self-service analytics foundations.

• Lead deliver a stable architecture for technical integration of data lake platform with SAP (using SNP Glue) , Salesforce Marketing Cloud, Salesforce Commerce Cloud etc.

  Requirements

• 3+ years of experience as Data Solution Architect or Data Engineering Manager leading a team of Data or AI/ML engineers

• 10+ years of experience in Data engineering and Modelling of DataMarts or business semantic data layers, BI, Analytics, AI/ML solutions in a large scale Lakehouse architecture

• Strong experience in building and maintaining data pipelines and ETL/ELT workflows using tools such as Apache Airflow or Cloud Composer, GCP Dataflow, Dataform etc. Design infrastructure code (IaC) for data services using Terraform.

• Strong experience designing enterprise-scale data analytics solutions on cloud platforms (GCP Highly Desirable).

• Proficiency with Looker reporting tool and designing the semantic data layer underneath it is highly desired

• Strong SQL skills and proficiency with Python.

• Experience integrating with SAP, Salesforce Marketing Cloud, e-commerce platforms, and enterprise systems.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.