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SalaryDescription
Job Position Merilytics is looking for an experienced Enterprise Data Architect to lead the strategy, design, and implementation of Data Architectures for across all its data management projects. He/she will be part of the technology team and will possess in-depth knowledge of distinct types of Data Architectures and frameworks including distributed large-scale implementations. He/she will collaborate closely with the client partnership team to design and recommend robust and scalable Data Architecture to clients and work with engineering teams to implement the same in on-premises or cloud-based environments. He/she will be a data evangelist and will conduct knowledge sharing sessions in the company on various data management topics to spread awareness of Data Architecture principles and improve the overall capabilities of the team.
The Enterprise Data Architect will also conduct design review sessions to validate/verify implementations, emphasize and implement best practices followed by exhaustive documentation which are in line with the design philosophy. He/she will have excellent communication skills and will possess industry standard certification in the Data Architecture areas. Key responsibilities Partner with clients to understand their business and create comprehensive requirements to enable development of optimal Data Architecture Translate business requirements into logical and physical design of databases, data warehouses, and data streams Analyze, plan, and define Data Architecture framework, including security, reference data, metadata, and master data Create elaborate data management processes and procedures and consult with Senior Management to share the knowledge Collaborate with client and internal project teams to devise and implement data strategies, build models, and assess shareholder needs and goals Develop application programming interfaces (APIs) to extract and store data in the most optimal manner Align business requirements with technical architecture and collaborate with the technical teams for implementation and tracking purposes Research and track the latest developments in the field to maintain expertise about the latest best practices and techniques within the industry What are the pre-requisites and skillsets required to apply for this role? Undergraduate degree (B.E/B.Tech.) from tier-1/tier-2 colleges are preferred. 8 years of experience in related field Experience in designing logical & physical data design architectures in various RDBMS (SQL Server, Oracle, MySQL etc.), Non-RDBMS (MongoDB, Cassandra etc.) and Data Warehouse (Azure Synapse, AWS Redshift, Google BigQuery, Snowflake etc.) environments Deep knowledge and implementation experience on Modern Data Warehouse principles using Kimball & Inmon Models or Data Vault including their application based on data quality requirements In-depth knowledge of any one of cloud-based infrastructure (AWS, Azure, Google Cloud) for solution design, development, and delivery is mandatory In-depth knowledge of business intelligence tools (any one of Power BI, Tableau, Qlik, DOMO, Looker etc.) Proven abilities to take on initiative, be innovative and drive it through completion Analytical mind with strong problem-solving attitude Excellent communication skills, both written and verbal Any Enterprise Data Architect certification will be an added advantage
