Data Architect

3 days ago

New Delhi, India Milestone Technologies, Inc. Full time

Data Architect Job Summary: We are looking for a seasoned and visionaryData Architectwithover 14 yearsof experience to lead the design and implementation of enterprise-grade data architecture, governance frameworks, and scalable data platforms. This role requires deep expertise in modern data technologies, big data ecosystems, and cloud-native solutions. The ideal candidate will be a strategic leader who can bridge business needs with technical solutions, ensuring data integrity, quality, and accessibility across the organization. Key Responsibility: Lead the design and implementation of Data Architecture, Data Quality frameworks, and Data Governance initiatives. Define data modeling standards and establish foundational best practices across data platforms. Champion and promote data quality principles by developing and institutionalizing enterprise-wide standards and methodologies. Build and oversee data governance policies, procedures, and frameworks to ensure data integrity, security, and compliance. Drive enterprise-wide adoption of self-service data platforms and enablement of organizational data literacy and utilization. Define and maintain critical data standards and metadata to facilitate the consistent understanding and use of data as a shared enterprise asset. Create reusable templates and establish coding standards for sourcing, collecting, and transforming both streaming and batch data. Design scalable data schemas, object models, and flow diagrams to effectively structure, process, and integrate data across systems. Provide architectural strategy, assessments, and roadmaps to guide enterprise data management practices. Offer hands-on expertise in architecting and managing Big Data platforms and Data Lake technologies (e.g., AWS S3, Hive), along with exposure to ML and Data Science tools. Implement and manage industry-standard tools and frameworks such as Databricks, Delta Lake, Apache Spark, Airflow, Hive Metastore, Redshift, Kafka, Kubernetes, Docker, and CI/CD pipelines. Translate complex big data and analytics requirements into high-performance, scalable data models and guide analytics engineers on implementing these models. Define reusable templates and processes for data modeling, data flow design, and system integration. Lead, mentor, and upskill data analytics teams by promoting best practices, modern technologies, and effective processes in data platform engineering.Tech Skills: 10+ years of hands-on experience in Data Warehouse, ETL, Data Modeling & Reporting 7+ years of hands-on experience in productionizing and deploying Big Data platforms and applications. Hands-on experience working with: Relational/SQL, distributed columnar data stores/NoSQL databases, time-series databases, Spark streaming, Kafka, Hive, Delta Parquet, Avro, and more Extensive experience in understanding a variety of complex business use cases and modeling the data in the data warehouse Highly skilled in SQL, Python, Spark, AWS S3, Hive Data Catalog, Parquet, Redshift, Airflow, and Tableau or similar tools Proven experience in building a Custom Enterprise Data Warehouse or implementing tools like Data Catalogs, Spark, Tableau, Kubernetes, and Docker Demonstrated industry leadership in the fields of Data Warehousing, Data Science, and Big Data related technologies Design and Implement Machine learning models with Tensorflow ,Keras and pytorch And MLops

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