Senior Data Architect

JOB SUMMARY
The Data Architect I is responsible for designing, developing, and implementing data architecture for a large enterprise. This role requires proficiency in at least two areas from data ingestion, data management, data delivery, and data consumption. The Data Architect I will architect, design, and implement high-performance, large-volume data solutions including integration, transformation, warehouses, data lakes, cloud data, and data analysis and visualization. This role also involves designing and implementing cloud big data solutions, planning information architecture, and providing end-to-end technical guidance and roadmaps. Customer focus and validation of team estimates are key expectations.

Key Responsibilities
• Architect, design, and implement high-performance, large-volume data integration, transformation, warehouse, data lakes, and cloud data solutions.
• Implement data analysis, reporting, and visualization from data warehouses using tools like PowerBI, Tableau, or D3.
• Design and implement cloud big data solutions on platforms such as AWS, Azure, GCP, or Apache Hadoop.
• Plan information architecture by studying site concepts, strategy, domain, target audience, information structure, and features, including backup, recovery, and security specifications.
• Enhance customer service and effectively engage customers to build solutions.
• Provide end-to-end technical guidance and roadmaps for Sales & Marketing.
• Validate estimates provided by the team.
• Develop and deliver long-term strategic goals for data architecture vision and standards.
• Create short-term tactical solutions to achieve long-term objectives and a data management roadmap.
• Establish processes for governing the identification, collection, and use of corporate data assets and metadata, ensuring accuracy and validity.
• Establish methods and procedures for tracking data quality, completeness, redundancy, and improvement.
• Ensure data strategies and architectures meet regulatory compliance requirements.
• Engage with external stakeholders including standards organizations, regulatory bodies, operators, and scientific research communities.
• Ensure business needs for operational and reporting data are met.
• Establish governance, stewardship, and frameworks for managing data across the organization.
• Develop and promote data management methodologies and standards.
• Select and implement appropriate tools, software, applications, and systems for data technology goals.
• Collaborate with project managers and business teams on projects involving enterprise data.
• Address data-related issues with systems integration, compatibility, and multi-platform integration.
• Act as a leader and advocate for data management, including coaching and training.
• Develop and implement components to ensure the fidelity and performance of data architecture.
• Document the data architecture and environment.
• Identify and develop opportunities for data reuse, migration, or retirement.
• Perform data architecture design reviews.
• Identify opportunities for optimization of cost, time, and asset utilization in complex projects.
• Provide advice to teams facing complex technical issues.
• Conduct technical audits for complex projects.
• Define and measure project-specific architectural and technology quality metrics.
• Provide input for team training and identify training needs.
• Gain and cultivate domain expertise to provide optimized solutions to customers.
• Understand requirements within the context of larger system or transformation programs.
• Validate cross-application and cross-technology requirements for integrability and reconciliation.
• Support project managers in identifying team training needs.
• Conduct training and certifications.
• Support technical evaluations of candidates.
• Perform career guidance and performance management for team members.
• Identify alliance partners and areas for joint go-to-market strategies.
• Develop internal capabilities and complementary toolsets to support GTM strategies.
• Maintain relationships with partners.
• Serve as the technical point of contact for specific technology/solution areas.
• Define problem statements for customers.
• Analyze application/technology landscapes, processes, and tools to propose best-fit solutions.
• Analyze cost vs. benefits of solution options.
• Define technology/architecture roadmaps for clients.
• Articulate cost vs. benefits to key stakeholders.
• Participate in external forums and engage with customers/partners on innovative ideas and industry trends.
• Participate in beta testing and joint lab setups to explore new technologies.
• Identify areas for component, accelerator, or design pattern reuse.
• Create documents, reports, and white papers on research findings.
• Develop collaterals for proposals.
• Compare designs and propose appropriate technology solutions.
• Calculate and present estimates based on high-level designs.
• Review estimations, resource plans, and risk mitigation plans.
• Participate in client presentations and client visits.
• Ensure alignment of high-level architecture with client needs and business logic.
• Ensure involvement of appropriate teams in data design.
• Ensure technical integrability and requirements compliance.
• Involve external partners as appropriate.
• Provide guidance on data architecture usage, solution implementation, product selection, configuration, migration, and transformations.
• Ensure UST architecture principles and Quality of Architecture (QOA) are maintained.
• Analyze trade-offs and provide recommendations on data architecture.
• Identify opportunities for efficiency improvements.
• Understand work streams and technologies for large programs.
• Resolve issues based on industry expertise and partner leverage.
• Provide leading technology and solution options with examples and case studies.
• Guide customers on process and technology improvements for agility and quick results.
• Proactively identify and manage technical risks.
• Build credibility with clients as a technical go-to person and expand professional networks.
• Identify opportunities for new service offerings based on customer voice, partner inputs, and industry trends.
• Support the development of business cases for investments.
• Develop IP, tools, and frameworks to address opportunities technically.
• Lead beta testing/proof of concepts as applicable.
• Develop collaterals and guides for go-to-market strategies.

Required Qualifications
• Proficiency in designing, developing, and implementing data architecture for a large enterprise, focusing on two of the following: Data ingestion, Data Management, Data Delivery, Data Consumption.
• Experience in architecting, designing, and implementing high-performance, large-volume data integration, transformation, warehouse, data lakes, cloud data, data analysis, reporting, and visualization using tools like PowerBI, Tableau, or D3.
• Experience designing and implementing cloud big data solutions (AWS/Azure/GCP/Apache Hadoop).
• Experience planning information architecture, including studying site concept, strategy, domain, target audience, information structure and features, designing information structure, and evaluating information representation, backup, recovery, and security specifications.
• Demonstrated customer focus, improving customer service and effectively engaging customers.
• Ability to provide end-to-end technical guidance and roadmaps for Sales & Marketing.
• Experience validating team estimates.
• Experience with technology trends to provide inputs on potential areas of opportunity.
• Knowledge of Architecture Concepts and Principles to create architecture catering to functional and non-functional requirements.
• Knowledge of Design Patterns, Tools, and Principles to create high-level designs, evaluate design options, and select appropriate choices with trade-offs.
• Knowledge of Software Development Process Tools & Techniques to identify and assess process improvements.
• Technical responsibility for all stages in the software development process.
• Knowledge of Project Management & Agile Tools and Techniques to support and manage projects/programs, identifying risks and mitigation strategies.
• Knowledge of Project Metrics to understand relevance and collate project metrics.
• Knowledge of Estimation and Resource Planning to create estimates and plan resources for modules/projects.
• Knowledge of Knowledge Management Tools & Techniques to leverage existing material and create/update knowledge artifacts.
• Knowledge of Technical Standards, Documentation & Templates to create appropriate documentation.
• Knowledge of Requirement Gathering and Analysis to support requirement documents and process maps.
• Strong proficiencies in understanding data, workflows, and dataflows.
• Attention to detail.
• High analytical capabilities.
• Creativity in developing solutions.
• Self-learning ability.
• Resilience in solving problems.
• Domain knowledge and understanding of domain data.
• Applied Mathematics and Statistics.
• Skilled in writing design documents, using Power Point, and Visio.
• Experience with data visualization and streaming.
• Experience with data migration.
• Experience with data modeling, vector, and graphs.
• Experience with RDBMS (relational database management systems) and SQL.
• Experience with databases such as NoSQL and cloud computing.
• Experience with Hadoop technologies, like MapReduce, Hive, and Pig.
• Proficiency in programming languages, especially Python and Java.
• Knowledge of operating systems, including UNIX and MS Windows.
• Knowledge of cloud solutions.
• Knowledge of backup/archival software.
• Understanding of data security.

Certifications
• Architect/Big Data specialty certification in one of AWS or Azure or GCP.
• Experience in knowledge of other architecting Big Data solutions on other cloud and Big Data platforms.