Job Description & Summary As a Data Architect, you will be working with business stakeholders, data engineers, and database administrators. Your major goal is to build a dependable and scalable data architecture that allows for data storage, retrieval, and analysis. You will also be responsible for data security, compliance, and quality while staying up to date on emerging technologies and best practices. You will own the direction, standards of client’s enterprise data architecture and ensure the health of Data architecture and the creation and updating of key Data Architecture deliverables Roles and Responsibilities • Create client’s Data Architecture vision covering all Data & Analytics components, enterprise-wide baseline and target data architectures. • Support in Data & Analytics solutions and product development as Data architect in terms of Data architecture, standards, best practices, assets and frameworks • Responsible for the design and implementation of client’s enterprise data architecture, ensuring current and future business data and analytical needs. • Be the custodian of enterprise-wide data lineage from source to target and able to deep dive vertically when required. • Develop holistic roadmap of Data architecture change initiatives across the organization, lead from the front to consolidate data requirements across different initiatives • Mentor and provide technical oversight to Data Solution Architects, Data Engineers in creating data products to Business adhering to the data architecture and governance standards • Plan for team capability growth considering the skills required within the data architecture team and to assist in resourcing decisions • Key stakeholder and advisor in all new strategic data and analytics initiatives and ensure alignment to the enterprise data strategy • To drive consistent data standards and approaches, building an environment that encourages continuous improvement and innovation • Responsible for the definition and development of data architecture principles, guidelines, data services, analytical tools, standards, and frameworks required to support client’s Data assets • Define Data migration strategy and device the implementation approach • Provide Data Architecture expertise for Projects Delivery, working with Product Mangers and solution architects • Work with Enterprise Application teams, stakeholders and Partners to understand target data architecture delivery dependencies and align delivery timelines • Provide architectural support to operations and project delivery teams • Lead the data solution design efforts and synergize with Data Governance processes • Creating templates for data architecture deliverables and artifacts for Projects and supporting data solution architects to complete • Evaluate new trends, architect, and deploy new tools, frameworks, and patterns to build sustainable Big Data and Cloud platforms • Accountable for defining key indicators of the performance of the Data Architecture • Accountable for assuring the alignment of data architecture to the target by decision and coordination among cross projects and enterprise As Enterprise Data Architect, the candidate need the own the following (not limited to) deliverables · Baseline and Target state Data architecture · Catalogue of data sources and systems · Data Architecture Artifacts and Design documents · Data Architecture standards, principles and guidelines · Data Lineage through Systems Skills • TOGAF Certified or equivalent • Deep understanding of the Data architecture discipline, processes, concepts and analytics best practices • Data Solutions Design, Data Integration • Data Governance, Security, Privacy and Compliance requirements for an enterprise • Data Dictionary and Cataloguing • Data Lake, Datawarehouse, Lakehouse Design, SQL expertise, Data Ingestion techniques • Possess strong knowledge of industry best practices around modern data architecture in Cloud and Big Data environments • Solutions Modeling, Data Modeling – Logical & Physical • Analytical, Structured thinker, Effective Leadership and Communication • Background in ERP, Manufacturing, Engineering and Supply Chain is preferable • Azure, Databricks, On prem solutions ( MS BI Suite ) preferable. Specific Software Skills: Working knowledge of Azure Analytics features such as Stream Analytics, Machine Learning and Application Insights. Modelling and ETL knowledge with Erwin, Azure Databricks, Data Factory, SSIS and Azure Synapse. Develop and maintain system integrations using, Azure Logic Apps, Integration Services, Power Automate, PowerApps, etc. Microsoft Azure data platform experience with Power BI, Azure Data Lake, data warehouse and Data Factory. Attention to detail and ability to coordinate multiple tasks, set priorities and meet deadlines Should be well versed with Data Structures & algorithms s: Provide a summary of the role, what success in the position looks like, and how this role fits into the organization overall. Experience Required · Total IT Experience of more than 15 to 20 years · Minimum of 5 years as Data Architect with specific focus to Azure, SQL DWH Salary Range Negotiable based on the relevant work experience Place of Work Chennai, India (Hybrid)