Posted:3 hours ago|
Platform:
Work from Office
Full Time
We areseeking an experienced Data Solution Architect to lead the design andimplementation of scalable, secure, and high-performing data solutions acrosscloud and hybrid environments. The ideal candidate will bring deep expertise in Data Engineering, APIs, Python, Spark/PySpark , and enterprise cloudplatforms such as AWS and Azure . This is a strategic,client-facing role that involves working closely with stakeholders, engineeringteams, and business leaders to architect and deliver robust data platforms. KeyResponsibilities: Architect end-to-end data solutions across cloud (AWS/Azure) and on-premises environments Develop and integrate RESTful APIs for data ingestion, transformation, and distribution Define data architecture standards, best practices, and governance frameworks Work with DevOps and cloud teams to deploy solutions using CI/CD and infrastructure-as-code Guide and mentor data engineering teams in solution implementation and performance optimization Ensure high availability, scalability, and data security compliance across platforms Collaborate with product owners and stakeholders to translate business needs into technical specifications Conduct architecture reviews, risk assessments, and solution validation Requirements RequiredSkills & Experience: 15 to 22 years of total experience in IT, with at least 5+ years in data architecture roles Strong experience in data processing frameworks and building the ETL solutions Proven expertise in designing and deploying solutions on AWS and Azure cloud platforms Hands-on experience with data integration, real-time streaming , and API-based data access Proficient in data modeling (structured, semi-structured, unstructured data) Deep understanding of data lakes, data warehouses, and modern data mesh/architecture patterns Experience with tools such as Airflow, Glue, Data bricks, Synapse, Redshift, or similar Knowledge of security, compliance, and governance practices in large-scale data platforms Strong communication, leadership, and client-facing skills Benefits Standard Company Benefits ","
Data Economy
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