Unlock Your Potential as a Data Architect

About the Role

Our company is seeking a skilled Data Architect to design, develop and implement end-to-end data solutions that meet business requirements. We offer a collaborative work environment with opportunities for professional growth.

Responsibilities

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• Design and develop scalable, secure, and aligned data architectures.\
• Define and maintain data integration patterns and governance frameworks.\
• Develop and communicate data strategy and architecture roadmaps.\
• Collaborate with cross-functional teams to ensure effective delivery.\
• Guide engineering teams through implementation using best practices.\
• Stay up-to-date with emerging technologies and trends in the field of data architecture.\
• Work closely with stakeholders to understand their data needs and provide tailored solutions.\
• Maintain high-quality documentation of data solutions and architecture.\
• Identify areas for improvement and contribute to process improvements.\
• Ensure compliance with regulatory requirements and industry standards.\
• Participate in knowledge-sharing sessions and workshops to stay informed about best practices.\
• Contribute to the development of a data-driven culture within the organization.\
• Engage with customers to understand their pain points and provide data solutions to address them.\
• Collaborate with other departments to align data solutions with business objectives.\
• Implement data quality and integrity controls to ensure accurate and reliable data.\
• Develop and maintain relationships with vendors and partners to ensure seamless collaboration.\
• Provide training and support to team members on new tools and technologies.\
• Assist in the development of a data management framework to ensure consistency across all data systems.\
• Contribute to the creation of a data governance framework to ensure data security and compliance.\
• Collaborate with the data science team to integrate machine learning models into the data architecture.\
• Implement data visualization tools to facilitate better decision-making.\
• Develop and maintain metrics and KPIs to measure data solution performance.\
• Lead by example and promote a culture of continuous learning and improvement.\
• Strengthen the overall data architecture to meet future business needs.\
• Enhance data literacy among stakeholders to improve data-informed decision-making.\
• Drive innovation in data architecture to remain competitive in the market.\
• Develop and maintain dashboards to track key performance indicators.\
• Advocate for the adoption of new technologies and processes to improve efficiency.\
• Identify opportunities to automate manual tasks and optimize workflows.\
• Develop and implement a data storage and retrieval system to support business needs.\
• Ensure data accuracy, completeness, and consistency across all systems.\
• Document and share best practices and lessons learned to benefit the entire organization.\
• Assess and recommend new technologies and tools to enhance data capabilities.\
• Support business leaders in making data-driven decisions.\
• Develop and lead data-related projects from initiation to completion.\
• Communicate technical information to both technical and non-technical stakeholders.\
• Build strong relationships with internal stakeholders to drive data initiatives forward.\
• Address the full spectrum of data challenges, including integration, security, governance, and scalability.\
• Partner with senior leaders to shape data strategies that align with business goals.\
• Establish partnerships with suppliers and vendors to source cutting-edge technologies.\
• Provide expert advice on data architecture and infrastructure.\
• Present complex data concepts in an easy-to-understand manner to both technical and non-technical audiences.\
• Lead by example and promote a culture of transparency, accountability, and open communication.\
• Ensure adherence to regulatory requirements, such as GDPR and HIPAA.\
• Drive digital transformation by integrating emerging technologies like AI and ML.\
• Develop and maintain a comprehensive understanding of data architecture principles and best practices.\
• Play a key role in shaping the overall technology vision and direction of the organization.\
• Explore new technologies and techniques to enhance the overall data landscape.\
• Make recommendations for optimizing current processes and procedures.\
• Monitor and analyze data to inform strategic business decisions.\
• Utilize data visualization tools to help tell compelling stories with data.\
• Develop and implement policies and procedures related to data management and security.\
• Apply expertise in data architecture to guide technical discussions and decision-making.\
• Understand the bigger picture of how data impacts business outcomes.\
• Continuously evaluate the effectiveness of data solutions and make recommendations for improvement.\
• Find innovative ways to present data insights to stakeholders.\
• Investigate opportunities to reduce costs and improve data efficiency.\
• Use subject matter expertise to define project scope, goals, and deliverables.\
• Experience in architecting enterprise-level data solutions.\
• Proficiency with tools and platforms such as Databricks, Azure Synapse, Delta Lake, and Unity Catalog.\
• Experience with CI/CD pipelines using Git and Azure DevOps.\
• Strong understanding of data governance, security, and regulatory compliance.\
• Expertise in creating clear and concise data visualizations to aid in stakeholder understanding.\
• Ability to communicate complex ideas in simple terms.\
• Extensive experience with data architecture, data modeling, and data warehousing.\
• Proven ability to translate business requirements into practical, working data solutions.\
• Background in software development and data analytics.\
• Knowledge of SQL, Python, Java, and R programming languages.\
• Understanding of big data processing and distributed computing.\
• Hands-on experience with data integration tools.\
• Highly organized with excellent attention to detail.\
• Ability to effectively collaborate with cross-functional teams.\
• Excellent problem-solving skills.\
• Results-oriented with a focus on delivering high-quality results under tight deadlines.\
• Collaborative mindset with a passion for mentoring and sharing knowledge.\
• Willingness to continuously learn and adapt to new technologies and methodologies.\
• Track record of successfully implementing large-scale data projects.\
• Expertise in cloud-based data platforms and data services.\
• Fluency in SQL Server, Oracle, and IBM DB2.\
• Ability to manage multiple projects simultaneously while maintaining focus on priorities.\
• Capacity to mentor junior team members.\
• Thought leadership in data architecture and data governance.\
• Technical leadership and hands-on involvement in the design and implementation of data solutions.\
• Strategic planning and execution.\
• Team leadership and collaboration.\
• Business acumen and relationship-building.\
• ITIL or IT Service Management certifications.\
• CISSP certification.\
• CompTIA Security certification.\
• Certified Information Systems Analyst (CISA) certification.\
• PMP certification.\
• CAPM certification.\
• Project management certifications.\
• Familiarity with Six Sigma methodologies.\
• Green Belt certification.\
• Black Belt certification.\
• Other relevant certifications.\
• Master's degree in Computer Science, Information Technology, Data Science, or related field.\
• Bachelor's degree in Computer Science, Information Technology, Data Science, or related field.\
• Professional certifications such as Certified Data Architect (CDA) or Certified Enterprise Architect (CEA).\
• Experience working in a fast-paced Agile environment.\
• Strong understanding of DevOps practices and principles.\
• Passion for innovative data architecture and its potential impact on business outcomes.\
• Enthusiasm for staying up-to-date with emerging technologies and trends in data architecture.\
• Commitment to ongoing learning and professional development.\
• Strong teamwork and collaboration skills.\
• Outstanding written and verbal communication skills.\
• Aptitude for public speaking and presenting technical information to diverse audiences.\
• Effective interpersonal skills and conflict resolution techniques.\
• Leadership and mentorship skills.\
• Active listening skills.\
• Self-motivated and disciplined individual who can work independently without close supervision.\
• Continuous learner with a growth mindset.\
• Flexibility to adapt to changing priorities and competing demands.\
• Results-oriented with a focus on achieving desired outcomes.\
• Customer-centric approach to problem-solving.\
• Organizational awareness and change management skills.\
• Emotional intelligence and empathy.\
• Resilience and stress tolerance.\
• Accountability and responsibility.\
• Dynamic leader who fosters a positive, inclusive, and supportive work environment.\
• Encourages collaboration, creativity, and innovation.\
• Urges open communication and constructive feedback.\
• Leverages diversity, equity, and inclusion to drive business success.\
• Role-models trust, integrity, and respect.\
• Empowers employees to take calculated risks and learn from failures.\
• Aligns actions with organizational values and mission.\
• Serves as a trusted advisor to senior leaders.\
• Supports the growth and development of team members.\
• Helps create and maintain a strong, cohesive team.\
• Accommodates diverse needs and preferences.\
• Perseveres through setbacks and stays committed to long-term goals.\
• Leads by example and instills confidence in the team.\
• Maintains situational awareness and keeps colleagues informed.\
• Uses negotiation and influence skills to achieve mutually beneficial agreements.\
• Empathizes with different perspectives and uses active listening skills.\
• Delivers timely and regular progress updates to stakeholders.\
• Is highly adaptable and flexible in response to changing circumstances.\
• Effectively prioritizes tasks to meet deadlines and expectations.\
• Handles multiple projects concurrently without compromising quality or service levels.\
• Understands the importance of securing sensitive information and maintains confidentiality.\
• Shows initiative and takes proactive steps to resolve problems.\
• Responds promptly to inquiries and concerns from internal and external stakeholders.\
• Is meticulous about documentation, meeting minutes, and follow-up actions.\
• Looks for opportunities to build meaningful connections and strengthen relationships.\
• Is open to feedback and uses it as a chance to learn and grow.\
• Has an elevated level of emotional intelligence and utilizes social skills to navigate various situations.\
• Consistently demonstrates exceptional behavior and fosters an inclusive workplace culture.\
• Represents the organization professionally and positively in meetings, presentations, and written communications.\
• Embodies the core values of the organization and adheres to established policies and procedures.\
• Acts decisively when necessary and exercises sound judgment in making tough decisions.\
• Remains agile and responsive to shifting business conditions and emerging trends.\
• Expertise in MS Office Suite, specifically Excel, Word, PowerPoint, Outlook, and Visio.\
• Must be familiar with database administration and querying.\
• Understanding of web application development.\
• Working knowledge of GUI scripting.\
• Competent in the use of relational databases.\
• MS Access database development skills.\
• Programming skills using C++, Java, Perl, PHP, Ruby, etc.\
• Database migration and ETL experience.\
• ERP implementation experience.\
• Metrics collection and data analysis experience.\
• Strong analytical and problem-solving skills.\
• Sound decision-making and critical thinking abilities.\
• Effectiveness in providing guidance and support to junior team members.\
• Skilled in documenting technical processes and procedures.\
• Excellent presentation and communication skills.\
• Leadership and interpersonal skills are essential for this role.\
• Deep understanding of the value chain and end-to-end business processes.\
• Change management experience.\
• Consulting experience.\
• Application development and maintenance.\
• International development and adaptation.\
• SQL Server 2005 or later.\
• Oracle 9i or later.\
• IBM DB2.\
• Microsoft Dynamics GP.\
• Oracle E-Business Suite.\
• PeopleSoft.\
• XML Schema Definition Language.\
• XSL Transformations.\
• HTML/CSS.\
• Adobe Acrobat.\
• Photshop.\
• Illustrator.\
• After Effects.\
• Cloud-based services.\
• Emerging technologies.\
• Artificial Intelligence.\
• Machine Learning.\
• Internet of Things.\
• Big Data.\
• DevOps.\
• Cloud Infrastructure.\
• Server Administration.\
• VMware.\
• Zenoss.\
• Nginx.\
• Apache.\
• IIS.\
• Open Source Technologies.\
• Linux.\
• Python.\
• Perl.\
• Ruby.\
• Scala.\
• Hadoop.\
• Spark.\
• MQTT.\
• RESTful APIs.\
• Microservices Architecture.\
• API Gateway.\
• Containerization.\
• Orchestration Tools.\
• Monitoring and Logging Tools.\
• Cloud-Native Applications.\
• Scalable and Fault-Tolerant Design.\
• Security and Compliance.\
• Distributed Systems.\
• System Integration.\
• Quality Assurance.\
• Automated Testing.\
• Virtual Reality.\
• Augmented Reality.\
• Extended Reality.\
• Machine Vision.\
• Computer Vision.\
• Robotics.\
• AI-assisted Development.\
• Code Generation.\
• Static Code Analysis.\
• Linting.\
• Code Review.\
• Pair Programming.\
• Test Automation Frameworks.\
• Behavior-Driven Development.\
• TDD/BDD Frameworks.\
• Smoke Testing.\
• Integration Testing.\
• End-to-End Testing.\
• Acceptance Criteria.\
• Automated Regression Testing.\
• Acceptance Testing.\
• UI Testing.\
• UX/UI Testing.\
• Cross-Functional Teams.\
• Agile Methodologies.\
• Kanban.\
• Scrum.\
• Lean Software Development.\
• Extreme Programming.\
• Refactoring.\
• Pair Programming.\
• Test-Driven Development.\
• Behavior-Driven Development.\
• Domain-Driven Design.\
• Enterprise Application Architecture.\
• Model-View-Controller (MVC).\
• Model-View-Presenter (MVP).\
• Service-Oriented Architecture (SOA).\
• Event-Driven Architecture (EDA).\
• Component-Based Architecture.\
• Client-Server Architecture.\
• Repository Pattern.\
• Unit of Work Pattern.\
• Transaction Script Pattern.\
• Active Record Pattern.\
• Dependency Injection.\
• Domain Logic.\
• Repository Layer.\
• Infrastructure Layer.\
• Web Services.\
• WS-*.\
• RESTful Services.\
• GraphQL.\
• JSON-RPC.\
• ASMX Web Services.\
• SOAP Web Services.\
• HTTP.\
• HTTPS.\
• FTP.\
• FTPS.\
• SCP.\
• SFTP.\
• SSH.\
• SNMP.\
• SMTP.\
• POP3.\
• IMAP4.\
• NNTP.\
• LDAP.\
• DSML.\