Position : Data Architect Data Engineering : 10+ Years (7+ in Data : Bengaluru, Telangana, Pune, Noida, Chennai, Faridabad, Type : Description :
Looking for an experienced Data Architect to design and optimize cloud-native, enterprise-scale data platforms. The role involves driving data strategy, building scalable pipelines, and enabling analytics & AI / ML Skills :
- 10+ yrs IT exp. (7+ in Data Cloud platforms : AWS, Azure, GCP (S3, Glue, Redshift, Synapse, BigQuery, etc.)
- Big Data : Spark, Hadoop, Databricks
- SQL & NoSQL, Data Modeling, Schema Optimization
- Python / Java / Scala programming
- Streaming : Kafka, Kinesis, Pub / Sub
- ETL tools : Informatica, Talend, Airflow, DBT
- Governance, lineage, data security frameworks
Preferred : Data Mesh / Fabric, Lakehouse, Docker / Kubernetes, MDM, Cloud Overview :
We are seeking an accomplished Data Architect with deep expertise in designing, building, and optimizing cloud-native, enterprise-scale data platforms. The ideal candidate will define and drive the organizations data strategy, ensure scalable and secure data architecture, and enable advanced analytics and AI / ML initiatives. This role requires strong technical depth, architectural leadership, and the ability to collaborate with diverse stakeholders to deliver high-performance data Responsibilities :
Define and own the data architecture vision, strategy, and roadmap for enterprise-level platforms.Design cloud-native, scalable, and secure data solutions across AWS, Azure, and / or GCP.Establish data modeling standards, schema optimization techniques, and data design patterns.Architect data lakes, data warehouses, lakehouses, and data mesh / fabric solutions.Build and optimize ETL / ELT pipelines using tools such as Informatica, Talend, Airflow, DBT, Glue.Leverage big data technologies (Spark, Hadoop, Databricks) for large-scale batch and streaming workloads.Implement real-time streaming pipelines with Kafka, Kinesis, or Pub / Sub.Guide teams in data ingestion, transformation, storage, and consumption frameworks.Implement data governance frameworks, metadata management, and lineage tracking.Define policies for data privacy, security, and compliance (GDPR, HIPAA, etc.).Enforce data quality standards, validation rules, and stewardship practices.Partner with business stakeholders, data scientists, and application teams to translate requirements into architectural solutions.Provide technical leadership and mentorship to data engineers and solution architects.Lead architectural reviews, POCs, and evaluations of new tools and technologies.Drive adoption of modern paradigms such as data mesh, data fabric, and lakehouse architectures.Stay updated on emerging trends in cloud, AI / ML, containerization, and data ecosystems.Continuously optimize cost, performance, and scalability of cloud-based data Skills & Qualifications :1015 years in IT, with at least 7+ years in data engineering and architecture.Proven track record of designing and delivering enterprise-scale, cloud-native data solutions.Cloud Platforms : AWS (S3, Glue, Redshift), Azure (Synapse, Data Lake, Data Factory), GCP (BigQuery, Pub / Sub).Big Data & Processing : Spark, Hadoop, Databricks.Databases : Strong SQL (RDBMS), NoSQL (MongoDB, Cassandra, DynamoDB).Programming : Proficiency in Python, Java, or Scala.Streaming : Kafka, Kinesis, or Google Pub / Sub.ETL / ELT Tools : Informatica, Talend, Airflow, DBT, or equivalent.Data Governance & Security : Data lineage, cataloging, encryption, access control.Experience with Data Mesh, Data Fabric, or Lakehouse architectures.Familiarity with Docker, Kubernetes, and container-based deployments.Exposure to MDM (Master Data Management) practices.Cloud certifications (AWS, Azure, or GCP) strongly preferred.Strong leadership and stakeholder management.Excellent communication and presentation abilities.Analytical mindset with problem-solving skills.Bachelors or Masters degree in Computer Science, Information Technology, or a related field.Competitive salary as per industry standards.Opportunity to architect solutions for large-scale, global enterprises.Work with cutting-edge cloud, big data, and AI / ML technologies.Leadership role with career advancement opportunities.(ref : hirist.tech)
