Senior Technology Architect-Data Engineering

Avance Consulting; Madrid; Presencial; EUR 70.000 - 90.000; Jornada completa

Descripción de la vacante

A leading consulting firm in Madrid is seeking a Sr. Technology Architect. You will design scalable data pipelines, lead a team of data engineers, and optimize performance using technologies like Python and Azure. Ideal candidates should have an excellent grasp of cloud data architecture and strong communication skills. This role offers a unique opportunity to lead innovative data initiatives in a dynamic Agile environment.

Formación

• Extensive experience in data architecture and ETL architecture.
• Proficiency in cloud-based data storage and processing.
• Experience leading teams in a data engineering context.

Responsabilidades

• Provide expert consultation and technical leadership for data engineering initiatives.
• Design robust data architectures and ETL/ELT pipelines using modern cloud technologies.
• Lead and mentor a team of data engineers and business intelligence professionals.

Conocimientos

Python

Azure Data Factory

Databricks

Informatica Cloud

Snowflake

SQL

Data architecture

ETL architecture

Agile methodologies

Problem-solving skills

Descripción del empleo

Overview

Your role

As a Sr. Technology Architect, you will be responsible for providing expert consultation to business and IT stakeholders, designing scalable data pipelines, and leading a team of data engineers and business intelligence professionals. Proficiency in technologies such as Python, Azure Data Factory (ADF), Databricks, Informatica Cloud (IICS), and Snowflake is essential. The Sr. Tech Architect will also drive performance optimization efforts, apply strong problem-solving skills in an Agile environment, and communicate complex technical concepts effectively to diverse audiences.

Responsibilities

• Extensive experience in data architecture, ETL architecture
• Engage with business and IT stakeholders to provide expert consultation and technical leadership for data engineering and visualization initiatives
• Design and guide the development of robust and scalable data architectures and ETL / ELT pipelines using modern cloud technologies, including Python, Azure Data Factory (ADF), Databricks, Informatica Cloud (IICS), Snowflake
• Lead the development and implementation of ETL processes to efficiently extract, transform, and load data from diverse sources into a Snowflake data warehouse
• Drive performance optimization efforts for data workloads on both Snowflake and Databricks
• Lead, mentor, and foster the growth of a team of data engineers and business intelligence professionals (specifically Power BI)
• Utilize extensive experience in data architecture, ETL architecture, and proficiency in SQL to deliver high-quality solutions.
• Proficiency and experience with cloud-based data storage and processing
• Apply strong problem-solving skills in a fast-paced, collaborative environment that uses Agile methodologies
• Leverage excellent communication, articulation, and presentation skills to effectively convey complex technical concepts to both technical and non-technical audiences
• Excellent communication, articulation and presentation skills
• Experience with Agile methodologies and working in a collaborative team environment.

Required

• Should have experience in data engineering, development, architecture and design
• Should have experience and expertise in technical skills : Python, Snowflake, Azure Data Factory, Databricks, SQL, Informatica (Cloud), Snowflake etc.
• Proactive and accountable of the deliverable's quality and timely submission