Data Architect

Responsibilities

• Architect/Design solutions that align with industry best practices, future business/technology strategy and AWG’s approved technology stack that address the customer’s needs.
• Collaborate with customers to understand their business problems or needs and desired outcomes.
• Translate business context to technology solutions that meet organization objectives.
• Identify and recommend appropriate architecture/solutions, estimating work efforts, upgrades, replacements, or decommissioning options that incorporate business and technology productivity, usability, and total cost of ownership.
• Develop and maintain 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, design, and implementation.
• Champion a structured approach to business application solutions and support the architectural aspects of all application projects in peer IT portfolios.
• Communicate the architecture to stakeholders, collaborate and coordinate with existing domain architects in the formalization and adoption of IT standards and procedures.
• Assist 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.
• Recommend 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.
• Participate and contribute to the development of the IT roadmap aligning with business and IT strategy.
• Develop technical visioning plans in areas of expertise considering future business needs and emerging technologies.
• Strategically align with the organization's vision and drive leadership to transformation for a better business outcome.
• 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.
• Assist in establishing 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.
• Influence change to standards when necessary.

• 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 No
  
  SQL 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.