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2 Days ago

MonoSpear Technologies - Senior Data Architect - R/Python

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Panchkula, Haryana, India
Information Technology
Full-Time
MonoSpear Technologies LLC

Overview

Experience : 7+ Years.

Work Mode : Remote.

Work Type : Contract.

Shift Timings : 2 Pm to 11 Pm.

Availability : Immediate.

Key Responsibilities

Data Architecture Design :

  • Design, develop, and maintain the enterprise data architecture, including data models, database schemas, and data flow diagrams.
  • Develop a data strategy and roadmap that aligns with business objectives and ensures the scalability of data systems.
  • Architect both transactional (OLTP) and analytical (OLAP) databases, ensuring optimal performance and data Integration & Management :
  • Oversee the integration of disparate data sources into a unified data platform, leveraging ETL/ELT processes and data integration tools.
  • Design and implement data warehousing solutions, data lakes, and/or data marts that enable efficient storage and retrieval of large datasets.
  • Ensure proper data governance, including the definition of data ownership, security, and privacy controls in accordance with compliance standards (GDPR, HIPAA, with Stakeholders :
  • Work closely with business stakeholders, including analysts, developers, and executives, to understand data requirements and ensure that the architecture supports analytics and reporting needs.
  • Collaborate with DevOps and engineering teams to optimize database performance and support large-scale data processing Leadership :
  • Guide the selection of data technologies, including databases (SQL/NoSQL), data processing frameworks (Hadoop, Spark), cloud platforms (Azure is a must), and analytics tools.
  • Stay updated on emerging data management technologies, trends, and best practices, and assess their potential application within the Quality & Security :
  • Define data quality standards and implement processes to ensure the accuracy, completeness, and consistency of data across all systems.
  • Establish protocols for data security, encryption, and backup/recovery to protect data assets and ensure business & Leadership :
  • Lead and mentor data engineers, data modelers, and other technical staff in best practices for data architecture and management.
  • Provide strategic guidance on data-related projects and initiatives, ensuring that all efforts are aligned with the enterprise data Skills & Experience Data Architecture Expertise :
  • Over 7 years of experience in data architecture, data modeling, and database management.
  • Proficiency in designing and implementing relational (SQL) and non-relational (NoSQL)

database solutions.

  • Strong experience with data integration tools (Azure Tools are a must + any other third party

tools), ETL/ELT processes, and data Knowledge of Data Platforms :

  • Expertise in Azure cloud data platform is a must.
  • Other platforms such as AWS (Redshift, S3), Azure (Data Lake, Synapse), and/or Google Cloud Platform (Big Query, Dataproc) is a bonus.
  • Experience with big data technologies (Hadoop, Spark) and distributed systems for large-scale data processing.
  • Hands-on experience with data warehousing solutions and BI tools (e.g., Power BI, Tableau, Governance & Compliance :
  • Strong understanding of data governance principles, data lineage, and data stewardship.
  • Knowledge of industry standards and compliance requirements (e.g., GDPR, HIPAA, SOX) and

the ability to architect solutions that meet these Leadership :

  • Proven ability to lead data-driven projects, manage stakeholders, and drive data strategies

across the enterprise.

  • Strong programming skills in languages such as Python, SQL, R, or :
  • Azure Certified Solution Architect, Data Engineer, Data Scientist certifications are Responsibilities :
  • Stakeholder Engagement : Work with product stakeholders to analyze functional and non-functional requirements, ensuring alignment with business objectives.
  • Solution Development : Develop end-to-end solutions involving multiple products, ensuring security and performance benchmarks are established, achieved, and maintained.
  • Proof of Concepts (POCs) : Develop POCs to demonstrate the feasibility and benefits of proposed solutions.
  • Client Communication : Communicate system requirements and solution architecture to clients and stakeholders, providing technical assistance and guidance throughout the pre-sales

process.

  • Technical Presentations : Prepare and deliver technical presentations to prospective clients, demonstrating how proposed solutions meet their needs and requirements. technical and non-technical stakeholders

(ref:hirist.tech)
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