Data Architect

2 days ago

India Greymatter Innovationz Full time

Greymatter Innovationz helps you stay digitally relevant across domains, technologies, and skillsets, every day. Data Architect 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. Implement data governance frameworks, including data lineage, quality, and stewardship. • Ensure compliance with data privacy regulations (e.g., Collaborate with security teams to enforce access controls and encryption policies. 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. 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. 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., Experience with cloud platforms (AWS, Azure, GCP) and big data technologies (Spark, Kafka). • Strong understanding of data warehousing, data lakes, and real-time streaming. #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. • Familiarity with machine learning pipelines and AI-driven analytics. Excellent Work Culture. Help you to upgrade yourself to the next level.

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