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MonoSpear Technologies - Senior Data Architect - Azure Cloud Data Platform

MonoSpear Technologies - Senior Data Architect - Azure Cloud Data Platform

MonoSpear Technologies Pvt LtdNoida
30+ days ago
Job description

Job Title : Data Architect

Location : Noida, India

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 consistency.

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, etc.

    • Collaboration 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 pipelines.

    • Technology 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 organization.

    • Data 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 continuity.

    • Mentorship & 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 strategy.

    • Required Skills & Experience :

    Extensive 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 pipelines.

    • Advanced 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 (BigQuery, 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.

    • , Power BI, Tableau, Looker).

    Data Governance & Compliance :

  • Strong understanding of data governance principles, data lineage, and data stewardship.
  • Knowledge of industry standards and compliance requirements (e.

    • , GDPR, HIPAA, SOX) and the ability to architect

    solutions that meet these standards.

    Technical 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 Scala.

    • Certification :

  • Azure Certified Solution Architect, Data Engineer, Data Scientist certifications are mandatory.

    • Pre-Sales 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.

    • Additional Responsibilities :

  • Stakeholder Collaboration : Engage with stakeholders to understand their requirements and translate them into effective technical solutions.
  • Technology Leadership : Provide technical leadership and guidance to development teams, ensuring the use of best practices and innovative solutions.
  • Integration Management : Oversee the integration of solutions with existing systems and third-party applications, ensuring seamless interoperability and data flow.
  • Performance Optimization : Ensure solutions are optimized for performance, scalability, and security, addressing any technical challenges that arise.
  • Quality Assurance : Establish and enforce quality assurance standards, conducting regular reviews and testing to ensure robustness and reliability.
  • Documentation : Maintain comprehensive documentation of the architecture, design decisions, and technical specifications.
  • Mentoring : Mentor fellow developers and team leads, fostering a collaborative and growth-oriented environment.

    • Qualifications :

  • Education : Bachelors or masters degree in computer science, Information Technology, or a related field.
  • Experience : Minimum of 7 years of experience in data architecture, with a focus on developing scalable and high-performance solutions.
  • Technical Expertise : Proficient in architectural frameworks, cloud computing, database management, and web technologies.
  • Analytical Thinking : Strong problem-solving skills, with the ability to analyze complex requirements and design scalable solutions.
  • Leadership Skills : Demonstrated ability to lead and mentor technical teams, with excellent project management skills.
  • Communication : Excellent verbal and written communication skills, with the ability to convey technical concepts to both technical and non-technical stakeholders

    • (ref : hirist.tech)

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