Data Engineer Architect

Roles and Responsibilities ? Collaborates with business teams to improve data models that feed business intelligence tools, increasing data accessibility, and fostering data-driven decision making across the organization. ? The Lead Data Engineer will be responsible for designing and overseeing the implementation of data architectures using Microsoft Azure services. This role requires deep expertise in Azure data technologies, data modelling, and cloud data solutions. The ideal candidate will work closely with cross-functional teams to deliver data solutions that meet business needs and drive strategic objectives Qualification ? Bachelor?s degree in computer science, Information Systems, Data Science, or a related field. Advanced degree or relevant certifications (e.g., Microsoft Certified : Azure Data Engineer Associate, Microsoft Certified : Azure Solutions Architect Expert) are a plus. ? Snowpro Core Certification (Mandatory) Experience - Skills and Competencies ? Lead the design and implementation of scalable data architectures using Azure data services, including Azure Data Lake Storage, Azure SQL Database, Azure Synapse Analytics, and Azure Data Factory. ? Work closely with data engineers, data scientists, BI Engineers, business analysts, and other stakeholders to understand data requirements and deliver architecture solutions that align with business objectives. ? Strong background in data modeling and data warehousing concepts, with experience creating logical and physical data models. ? Design and manage ETL pipelines and data integration processes, utilizing Azure Data Factory and other relevant tools to ensure seamless data flow between systems. ? Proficiency in SQL and experience with database technologies (e.g., Oracle, SQL Server, MySQL, PostgreSQL) and data warehousing solutions (e.g., Snowflake, Amazon Redshift, Google Big Query). ? Deep understanding of cloud computing principles and experience with Azure cloud infrastructure and services. ? Develop and document comprehensive data architecture strategies and roadmaps to support business objectives and technical requirements. ? Excellent verbal and written communication skills with the ability to convey complex data concepts to both technical and non-technical stakeholders. ? Good to have knowledge on DataBricks, Python, PySpark Benefits : ? Competitive salary packages with performance-based bonuses. ? Comprehensive health and wellness benefits. ? Opportunities for career advancement and development in the cutting-edge Digital Transformation ? sector. ? A collaborative and inclusive work environment. ? Flexible work schedules to help balance personal and professional commitments. ? Mentorship opportunities with professionals for career guidance and personal growth. ? Recognition and rewards for exceptional contributions. ? Opportunity to develop and lead your team