Data Architect

Responsibilities

• Deliver Solutions
• Identification and recommendation of appropriate architecture/solutions, estimating the work efforts, upgrades, replacements, or decommissioning options incorporating business and technology productivity, usability, and total cost of ownership.
• Develops /maintains Industry standards, guidelines and best practices for the core domain.
• Participate in Architecture Review Board, conduct architectural and code reviews.
• Drive activities that take place during solution ideation, solution design, and solution implementation.
• Champions a structured approach to business application solutions and supports the architectural aspects of all application projects in peer IT portfolios.
• Communicates the architecture to the stakeholders, collaborates and coordinates with existing domain architects in the formalization and adoption of IT standards and procedures.
• Support Availability and Services
• Aid core/project team in solving key/major production support issues, define/develop and execute architecture optimizations based on the unknown/unexpected support issues.
• Serve as the subject matter expert and go-to resource for the functional domain and drive major/key support challenges to successful solutions as appropriate.
• Recommends and drive implementations of system enhancements to provide operational reliability and integration ensuring the business with consistent systems availability and quality.
• Responsible for overall system-wide resiliency, scalability, stability and operational efficiency of solutions.
• Strategy
• Participates and contributes to the development of IT Roadmap aligning with business and IT strategy.
• Develops technical visioning plan in areas of expertise considering future business needs and emerging technologies.
• Strategically aligns with the organization's vision and drives leadership to transformation for a better business outcome.
• Learning and Continuous improvement
• Responsible for the lifecycle of solutions, from selection, proof of concept including software currency, upgrades and/or technology retirement.
• Evaluate technology acquisitions designed to optimize feature/function for long term supportability, vendor viability and total cost of ownership.
• Responsible for assisting in the establishment of an IT Architecture practice, and the adoption of an architecture and standards methodology.
• Guide, Mentor and Lead Junior/emerging architects and developers.
• Drive resolution with technology vendors when support is needed.
• Influences change to standards when necessary.

Requirements

• Bachelor’s degree in software engineering, computer science, computer information systems, or related degree; or commensurate professional experience
• 8-15 years of Data Architecture experience.
• Data architecture experience in complex environments
• Proven experience as a Data Architect, Data Scientist, Data Analyst or similar role
• In-depth understanding of database structure principles.
• Experience gathering and analyzing system requirements.
• Proficiency in SQL and experience with SQL and NoSQL databases.
• Strong hands-on Experience in data modeling and design & tools (e.g., ERWin, Enterprise Architect, Visio).
• Demonstrated knowledge of data warehousing, ETL/ELT techniques, Realtime /near Realtime. data ingestion/processing, and big data technologies (e.g., Hadoop, Spark).
• Good knowledge of Data Governance principles & data quality measurements.
• Familiarity with data visualization tools (e.g., Tableau, PowerBI).
• Expertise in cloud services (e.g., AWS, Azure) and cloud database and ELT services, preferably.
• Databricks, Azure Data Lake, BLOB Storage, Synapse database or AWS RDS, Azure SQL Database).
• Knowledge of programming languages (e.g., Python, Java, Scala).
• Understanding of machine learning algorithms and analytics.
• Strong problem-solving and analytical skills.
• Excellent communication and collaboration abilities.
• Familiarity with data privacy and governance policies.
• Relevant certifications (e.g., CDMP, CBIP) are a plus.
• Experience in Data and Analytics solution evaluation/selection and implementation for large scale, and complex environments.
• Experience in designing, developing, and implementing high performing, large scale, and complex Data and Analytics systems including integration with third-party applications.
• Experience serving as a technical coach, mentor, subject matter expert, and escalation point for our customers, IT teams, and colleagues.
• Experience executing on the organizational operation vision and goals, in alignment with department leadership.

Additional Preferred Skills & Experience

• Retail, wholesale, or Consumer Product Goods industry experience
• Knowledge of Azure/AWS/ cloud or managed services
• Knowledge of latest security best practices (OWASP, CBE, NIST, etc)
• Containerization technology knowledge (Docker; orchestration tools, i.e. Kubernetes)
• Experience with common programming languages (Python, JavaScript, HTML5, CSS)
• Knowledge of event-based/message architectures
• Enterprise systems knowledge
• Knowledge of virtual networking (public, private, and hybrid networks and subnetworks), network interfaces, and identity/access management (security groups and roles, network access control lists)
• Knowledge of latest DevOps technologies (Jenkins, CI/CD pipelines, IaC frameworks such as Ansible)
• Strong analytical and critical thinking skills
• Accomplished interpersonal and communication skills, demonstrating a clear and articulate standard of written and verbal communications to various levels of audiences.
• Ability to work independently, initiative-taker, highly motivated, resourceful.
• Ability to work as a committed member of a cross-functional team, sharing ideas and inputs from different perspectives in working towards delivering an exceptional product experience.
• Strong passion to mentor and grow the skillsets of lesser-experienced architects.