Data Architect

3 days ago

Delhi, India Greymatter Innovationz Full time

Greymatter Innovationz helps you stay digitally relevant across domains, technologies, and skillsets, every day. We are looking for: Data Architect Locations : PAN INDIA Key Responsibilities Data Architecture & Modeling • Design and maintain enterprise-wide unified data platform, primarily through establishing a Data Lakehouse Architecture (with Databricks at its core) • Develop conceptual, logical, and physical data models to support functional / operational aspects of Telemetry data visualization & Insights consumption • Define data standards, naming conventions, and metadata management practices. Data Integration & Pipelines • Architect ETL pipelines for structured and unstructured data using tools like Apache Airflow or Informatica. • Integrate data from disparate sources including cloud platforms, APIs, and legacy systems. Governance & Security • Implement data governance frameworks, including data lineage, quality, and stewardship. • Ensure compliance with data privacy regulations (e.g., GDPR, HIPAA, CCPA). • Collaborate with security teams to enforce access controls and encryption policies. Analytics Enablement • Partner with data scientists and analysts to ensure data availability and usability for advanced analytics and machine learning. • Optimize data structures for query performance and scalability. Collaboration & Leadership • Work closely with business stakeholders to understand data needs and translate them into technical solutions. • Provide technical leadership to data engineers and analysts. • Stay current with emerging technologies and recommend innovations that improve data architecture. Required Qualifications • Bachelor’s or master’s degree in computer science, Information Systems, or related field. • 5+ years of experience in data architecture, data engineering, or database design. • Proficiency in SQL, Python, and data modeling tools (e.g., ER/Studio, dbt). • Experience with cloud platforms (AWS, Azure, GCP) and big data technologies (Spark, Kafka). • Strong understanding of data warehousing, data lakes, and real-time streaming. Preferred Qualifications • Certifications such as AWS Certified Data Analytics, Azure Data Engineer, or Google Cloud Data Architect. • Experience with Databricks, Azure fabric, or modern data stack architecture. • Exposure to event streaming platforms like Kaka. • Familiarity with machine learning pipelines and AI-driven analytics. At Greymatter Innovationz, We offer: Motivating Work Environment. Excellent Work Culture. Help you to upgrade yourself to the next level. And More

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