Data Architect

JOB SUMMARY

Design, develop, and implement data architecture for a large enterprise, focusing on two of the following areas: Data Ingestion, Data Management, Data Delivery, Data Consumption. Key Responsibilities

• Architect, design, and implement high-performance, large-volume data integration, transformation, warehouse, and data lake solutions.
• Analyze, report, and visualize data from data warehouses using tools such as PowerBI, Tableau, or D3.
• Design and implement cloud big data solutions on platforms like AWS, Azure, GCP, or Apache Hadoop.
• Plan information architecture by studying site concepts, strategy, domain, and target audience; design information structure and features, evaluate information representation, and specify backup, recovery, and security.
• Focus on customer engagement to improve service and build solutions collaboratively.
• Provide end-to-end technical guidance and roadmaps for Sales & Marketing.
• Validate team estimates.
• Hold certification in Architect/Big Data specialty in AWS, Azure, or GCP, with experience in architecting Big Data solutions on other cloud and Big Data platforms.
• Develop and deliver long-term strategic goals for data architecture vision and standards.
• Create short-term tactical solutions to achieve long-term objectives and data management roadmaps.
• 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 external stakeholders, including standards organizations, regulatory bodies, operators, and scientific research communities.
• Ensure business needs for operational data 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 to support data technology goals.
• Collaborate with project managers and business teams on all 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 key components as needed to create testing criteria to guarantee the fidelity and performance of data architecture.
• Document the data architecture and environment to maintain an accurate view of the larger data picture.
• 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 and advise relevant teams.
• Provide advice to teams facing complex technical issues during project delivery.
• Conduct planned and unplanned technical audits for complex projects.
• Define and measure project and program-specific architectural and technology quality metrics.
• Provide inputs for team training.
• Identify training needs and conduct internal sessions.
• Partner with UST Gamma to create curriculum, assessments, training programs, and courseware based on new service offerings and solutions.
• Update collateral in the knowledge management repository.
• Gain and cultivate domain expertise to provide optimized solutions to customers.
• Understand requirements from a larger system/transformation program context.
• Validate cross-application/cross-technology requirements for interoperability and reconciliation of conflicting requirements with customers and stakeholders.
• Provide support to project managers in identifying team training needs.
• Conduct training/certifications and mentoring on technical skills for projects.
• Support technical evaluation of external and internal candidates.
• Perform career guidance and performance management for team members.
• Identify alliance partners based on service offerings and client requirements.
• Identify areas for joint Go-to-Market (GTM) with partners.
• Develop internal capabilities/complementary toolsets to support GTM strategies.
• Maintain relationships with partners.
• Act as the technical POC for specific technology/solution areas.
• Define problem statements for customers.
• Analyze application/technology landscapes, processes, and tools to arrive at suitable solution options.
• Analyze cost vs. benefits of solution options.
• Define technology/architecture roadmaps for clients.
• Articulate cost vs. benefits of options to key stakeholders.
• Participate in external forums.
• Interact and engage with customers/partners on innovative ideas, concepts, assets, and industry trends.
• Participate in beta testing of products and joint lab setups to explore new technologies.
• Identify areas for component/accelerator or design pattern reuse across accounts.
• Create documents, reports, and white papers on research findings.
• Develop collaterals for proposals.
• Compare various designs and propose appropriate technology solutions based on RFP understanding and architect inputs.
• Calculate and present estimates based on high-level designs to management.
• Review estimations and resource plans.
• Review risk and mitigation plans.
• Participate in client presentations and visits.
• Ensure alignment of high-level architecture with client needs and business logic; review designs prepared by architects.
• Ensure appropriate teams are involved in data design.
• Ensure technical interoperability and requirements compliance, especially in multi-group/multi-vendor programs.
• Involve external partners/horizontals as appropriate.
• Provide guidance to the team on data architecture usage and experience in solution implementation, product selection, configuration, migration, and transformations between cloud and hosted solutions.
• Take responsibility for developing cutting-edge wallet applications.
• Ensure 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 necessary for large programs.
• Resolve issues based on industry expertise/partner leverage.
• Provide best-in-class technology and solution options to customers with detailed examples and case studies.
• Guide customers on process and technology improvements for agility and quick results.
• Proactive identification and management of technical risks.
• Build credibility with clients as a technical go-to person.
• Expand professional networks within client organizations.
• Identify potential opportunities for new service offerings.
• Support the development of business cases for investment.
• Work with partners to co-develop joint GTM strategies.
• Develop IP/tools and frameworks to address opportunities technically.
• Lead beta testing/POC as applicable.
• Develop collaterals and guides for GTM. Required Qualifications
• Proficiency in designing, developing, and implementing data architecture for a large enterprise in two of the following: Data Ingestion, Data Management, Data Delivery, Data Consumption.

• Skill Examples:

• Understanding of technology trends.
• Knowledge of Architecture Concepts and Principles.
• Independent knowledge of Design Patterns, Tools, and Principles.
• Knowledge of Software Development Process Tools & Techniques.
• Knowledge of Project Management & Agile Tools and Techniques.
• Knowledge of Project Metrics.
• Knowledge of Estimation and Resource Planning.
• Knowledge of Knowledge Management Tools & Techniques.
• Knowledge of Technical Standards, Documentation & Templates.
• Knowledge of Requirement Gathering and Analysis.
• 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.

• Knowledge Examples:

• Domain knowledge, understanding domain data.
• Applied Mathematics and Statistics.
• Skilled in writing design documents, usage of Power Point, Visio.
• Data visualization, streaming.
• Data migration.
• Data modelling, vector and Graphs.
• RDBMSs (relational database management systems), SQL.
• Databases such as NoSQL and cloud computing.
• Hadoop technologies, like MapReduce, Hive, and Pig.
• Programming languages, especially Python and Java.
• Operating systems, including UNIX and MS Windows.
• Cloud solutions.
• Backup/archival software.
• Understanding of data security. Preferred Qualifications
• Experience in architecting Big Data solutions on other cloud and Big Data platforms.
• Ability to re-engineer existing architecture solutions under guidance.
• Provide training on best practices in architecture under guidance.
• Evaluate multiple design options and choose appropriate options for best possible trade-offs.
• Conduct knowledge sessions to enhance team's design capabilities.
• Review low and high-level designs for efficiency and maintainability.
• Implement global standards and guidelines relevant to programming and development.
• Come up with 'points of view' and new technological ideas.
• Support, plan, and manage medium-sized projects/programs.
• Take technical responsibility for all stages in the software development process.
• Conduct optimal coding with a clear understanding of memory leakage and its impact.
• Leverage existing material/reusable assets in the knowledge repository.
• Independently create and update knowledge artifacts.
• Create and track project-specific KT plans.
• Provide training to others.
• Write white papers/blogs at an internal level.
• Write technical documents/user understanding documents at the end of the project.
• Create documentation appropriate for the project needs.
• Create documentation appropriate for reusable assets/best practices/case studies.
• Support the creation of requirements documents or user stories and high-level process maps.
• Identify gaps based on business processes and analyze responses to clarification questions.
• Produce design documents.
• Create and review estimates and solutions at the project/program level.
• Create and review design artifacts.
• Update resourcing and schedule based on impacted areas identified.
• Create designs specifically for non-functional requirements. Certifications
• Architect/Big Data specialty certification in one of AWS, Azure, or GCP.