Data Architect
2 weeks ago
Exp: 12+Years Loc: Hyderabad (5 Days Work From Office)Notice period: Immediate joiners Shift timings: UK Shift / US Shift Mandatory Skills: Data architect, Data leakage, GCP/AWS/Azure Job Description: We are looking for a highly skilled Data Architect with 12+ years of experience in designing, implementing, and managing large-scale data architectures across GCP, AWS, and Azure.
The ideal candidate will have expertise in data leakage prevention, data governance, and modern cloud-based data platforms.
Key Responsibilities1.
Data Architecture & Design Design scalable, high-performance data architectures on AWS, GCP, and Azure.
Develop data modeling strategies (conceptual, logical, and physical).
Define and implement ETL/ELT pipelines using tools like dbt, Matillion, Apache Airflow, or Informatica.
Ensure data quality, lineage, and governance across all systems.2.
Cloud Data Solutions Architect data lake, data warehouse, and lakehouse solutions using Snowflake, Big Query, Redshift, or Synapse Analytics.
Optimize cloud data storage, computing, and security best practices.
Implement serverless data pipelines using AWS Lambda, GCP Dataflow, Azure Functions.
Integrate with streaming platforms like Kafka, Kinesis, Pub/Sub, or Apache Flink.3.
Data Security & Leakage Prevention Design and enforce data security policies to prevent unauthorized access.
Implement Data Loss Prevention (DLP) strategies across cloud environments.
Ensure compliance with GDPR, HIPAA, SOC2, CCPA and other data privacy regulations.
Use encryption, RBAC, IAM, and key management systems for secure data handling.4.
Advanced Analytics & AI/ML Support Enable real-time analytics and AI/ML workloads using cloud-native tools.
Work with data scientists and AI engineers to optimize model training data pipelines.
Implement feature stores for ML model deployment.5.
Collaboration & Leadership Work with engineering, business, and security teams to define data strategies.
Provide technical leadership and mentor junior data engineers/architects.
Drive cost optimization and performance tuning of cloud data solutions.
Required Skills & Qualifications Education: Bachelor's/Master's degree in Computer Science, Data Engineering, or a related field.
Technical Skills: Cloud Expertise: AWS (S3, Redshift, Glue), GCP (Big Query, Dataflow), Azure (Synapse, ADLS).
Data Modeling: Star schema, Snowflake schema, Data Vault.
Big Data & Storage: Apache Spark, Delta Lake, HDFS, Parquet, ORC.
ETL/ELT Pipelines: dbt, Apache Airflow, Matillion, Talend, Informatica.
Data Governance & Security: DLP, RBAC, IAM, KMS, GDPR, HIPAA compliance.
Database Technologies: SQL, No SQL (Mongo DB, Dynamo DB, Cassandra), Graph DBs (Neo4j).
Programming: Python, SQL, Scala.
Soft Skills: Strong problem-solving and analytical thinking.
Excellent communication and stakeholder management.
Ability to lead cross-functional teams.
Preferred Qualifications Certifications like AWS Certified Data Analytics, Google Professional Data Engineer, or Azure Data Engineer.
Experience with data virtualization platforms like Denodo.
Familiarity with MLOps and AI-driven data architectures.
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