
Data Architect
2 weeks ago
Key Responsibilities
- Design and develop end-to-end data architecture including data models, data pipelines, and data warehouses.
- Define and implement data governance, security, and quality standards.
- Collaborate with business stakeholders, analysts, and developers to understand requirements and translate them into scalable data solutions.
- Build and optimize ETL/ELT processes for structured and unstructured data.
- Manage and optimize databases, data lakes, and cloud-based storage solutions.
- Ensure system integration across multiple platforms and data sources.
- Stay updated with emerging data technologies and recommend adoption when appropriate.
- Mentor data engineers and analysts on best practices.
- Ensure compliance with data privacy regulations (GDPR, HIPAA, etc. where applicable).
Required Skills & Qualifications
- 5–10 years of experience in data architecture.
- Strong expertise in data modeling (conceptual, logical, physical) and database design.
- Hands-on experience with RDBMS (Oracle, MySQL, PostgreSQL, SQL Server) and NoSQL databases (MongoDB, Cassandra, etc.).
- Experience with big data frameworks (Hadoop, Spark, Hive, etc.).
- Proficiency in ETL/ELT tools (Informatica, Talend, Apache NiFi, etc.).
- Strong knowledge of cloud platforms (AWS, Azure, or GCP) and services like Redshift, BigQuery, Snowflake, Databricks.
- Familiarity with data governance, metadata management, and master data management (MDM).
- Strong programming skills in SQL, Python, or Scala.
- Excellent problem-solving, analytical, and communication skills.
Good to Have
- Experience in real-time data streaming (Kafka, Kinesis).
- Exposure to machine learning pipelines and advanced analytics.
- Knowledge of DevOps practices and CI/CD for data pipelines.
- Certifications in cloud data platforms (AWS Data Analytics, Azure Data Engineer, GCP Professional Data Engineer).
Job Types: Full-time, Contractual / Temporary
Contract length: 6-12 months
Pay: ₹100, ₹1,250,000.00 per month
Work Location: Remote
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