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,)

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

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