Description

You will design and drive the architecture of enterprise analytics, BI, and data science solutions using cloud technologies and third-party platforms.

Responsibilities

• Translate business goals and use cases into technical designs that deliver actionable insights.
• Set architectural vision and direction across a matrix of teams as the technical single point of contact.
• Propose conceptual and logical designs for data components and large-scale data integrations.
• Supervise and guide implementation teams, including data engineers and data scientists, to ensure alignment with business requirements.
• Ensure full DevOps and DataOps automation of continuous development, testing, and deployment processes.

Required Skills

• 5+ years of experience in the design and build of data solutions.
• Experience with large-scale Data Lake and Data Warehouse (DWH) solutions.
• Proficiency in big data pipelines, ETL, and API development.
• Hands-on experience with BI tools such as PowerBI, Tableau, Qlik Sense, or Keboola.
• Strong programming skills in Python, Java, Scala, or C++.
• Working knowledge of AWS and Azure cloud environments.
• Experience with relational and NoSQL databases.
• Understanding of data patterns including Master Data Management, lambda architectures, and streaming processing.
• Proficiency with architecture methodologies and diagramming tools.

Preferred Skills

• Proven experience with Data Lakehouse implementations using Azure (Databricks, Data Factory, Cosmos DB) or AWS (Glue, EMR, Redshift, SageMaker).
• Experience with ERP solutions like SAP or NetSuite.
• Knowledge of CRM and Marketing platforms such as Salesforce or Adobe.

Key Skills

Education

Any Graduate