Associate Technical Architect

Job Description

Associate Technical Architect Data (6-9 Years)Location:Mumbai | Bangalore | TrivandrumSelection process- Screening >> AI Interview>> L1 Discussion>> OfferWe are hiring an Associate Technical Architect Data to lead enterprise-scale data engineering and analytics solutions on cloud platforms. The role focuses on designing end-to-end data architectures, building scalable data pipelines, and driving data transformation initiatives across modern cloud ecosystems.Role & Responsibilities:
• Design and architect end-to-end data solutions including Data Lakes, Data Warehouses, Data Integration, and BI platforms
• Translate business requirements into scalable functional and non-functional architecture (availability, scalability, security, performance)
• Build and manage large-scale data pipelines for batch, real-time, and event-driven processing
• Work with structured and unstructured data across cloud and distributed systems
• Design scalable data warehouse solutions (BigQuery, Redshift, etc.)
• Lead data migration projects from on-prem to cloud platforms
• Ensure data quality, validation, monitoring, and governance frameworks
• Collaborate with stakeholders and support pre-sales (RFPs/RFIs) solutioning
• Mentor team members and contribute to technical best practices and accelerators
Must-Have Skills:
• Data architecture & solution design (69 years experience)
• Cloud platforms (GCP / AWS / Azure multi-cloud exposure preferred)
• Data engineering, data lakes & data warehousing
• ETL/ELT tools (Informatica, DataStage, Talend, etc.)
• Big data processing (Spark, PySpark, Scala, Hadoop ecosystem)
• Cloud data services (BigQuery, Redshift, S3, GCS, Dataflow, Dataproc, EMR, etc.)
• Data pipeline orchestration (Airflow, Composer, Kafka, Pub/Sub)
• SQL & NoSQL databases (MySQL, Oracle, SQL Server, Cassandra, MongoDB, etc.)
• Data modeling & BI tools (Tableau, Power BI, Looker, etc.)
• Cloud architecture concepts (IaaS, PaaS, SaaS, microservices, containers)
• Data migration & cloud transformation experience

Keyskills :
data engineeringdata integration