Mumbai, Maharashtra, India
Information Technology
Full-Time
MonoSpear Technologies LLC
Overview
Experience : 7+ Years.
Location : Noida.
Key Responsibilities :.
Data Architecture Design :.
Extensive Data Architecture Expertise :.
Azure Certified Solution Architect, Data Engineer, Data Scientist certifications are mandatory.
Pre-Sales Responsibilities :.
Location : Noida.
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 the business objectives and ensures the scalability of data systems.
- Architect both transactional (OLTP) and analytical (OLAP) databases, ensuring optimal performance and data consistency.
- 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.
- 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.
- 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.
- 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.
- 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.
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.
- 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.g, Power BI, Tableau, Looker).
- 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 standards.
- 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.
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.
- 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.
- Education : Bachelor's or master's 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.
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