Sr Spec, Data Architect

Job Title: Sr. Specialist Data Architect
Job Code: 46368
Job Location: Salt Lake City Utah
Job Schedule: 9/80 Employees work 9 out of every 14 days- totaling 80 hours worked- and have every other Friday off

Job Description:

As a member of the Data Analytics team you will support efforts to solve important business problems help internal departments make informed decisions and deliver analytical insights to the business. We are seeking an experienced Data Architect / AI/ML Solutions professional who can work closely with business stakeholders and technical teams to translate business needs into effective data and analytics solutions.

The ideal candidate will have experience supporting analytics AI/ML and data solution initiatives with strong skills in stakeholder communication requirements gathering solution development and cross-functional collaboration. This individual will be responsible for understanding business requirements identifying opportunities to apply data analytics and AI/ML technologies and contributing to the design and implementation of solutions that support business objectives.

Essential Functions:

• Core Capabilities

• • Strong proficiency in data engineering languages such as Python SQL Java or Scala
  • Proficiency in large scale data processing engines including but not limited to Spark Flink and Snowflake
  • Prior experience as a data Engineer software engineer or similar technical data professional
  • Hands-on experience with orchestration and pipeline tools like Apache Airflow Azure Data Factory Prefect FiveTran or Mage
  • Knowledge of ANSI SQL and data manipulation/query development.
  • Experience with cloud-based AI/ML platforms (e.g. AWS bedrock Azure Foundry etc.).
  • Open-source AI/ML solutions (various)
  • Experience with Agile software development (i.e. Jira and Confluence)
  • Experience in government defense or a related regulated sector
  • Relevant certifications in data analytics cloud or project delivery are beneficial.

• Solution Mapping and Design

• Assist in evaluating and identifying appropriate data analytics and AI/ML approaches that align with business requirements.
• Contribute to the design of scalable and practical analytics solutions that support business goals.
• Team Player
• A strong desire to be a Team player and build a happy collaborative environment.
• Mentoring and support for Junior engineers and data scientists
• Strong communication skills both written and verbal.
• Solid software engineering skills including version control (e.g. Git) continuous integration and automated testing.
• Possess a very strong understanding of python and SQL for data ingestion transformation and pipelining.
• Hands on knowledge of batch and stream processing (Kinesis & Kafka) for large scale data pipelines.
• knowledge of architecture and cloud platforms preferably AWS and Azure
• Proactive mindset with a passion for continuous learning and improvement.
• Familiarity with containerization technologies such as Docker and Kubernetes.
• Experience with Apache Airflow (MWAA) AWS EKS AWS RDS Aurora (MySQL)
• Data observability tools such as Datahub Mote Carlo Dynatrace or Great Expectations
• Experience building AWS and Azure infrastructure.
• Certifications in AWS Azure or other relevant platforms.
• Key Responsibilities:
• Design develop and maintain scalable and reliable data pipelines using tools such as Airflow Python SQL and Databricks DLT.
• Collaborate closely with data scientists analysts and other stakeholders to ensure that data is accessible consistent and reliable.
• Work with both structured and unstructured data sources to ingest transform and store data in a manner that meets business requirements.
• Implement effective data modeling and database design to support analytic and operational use cases.
• Ensure best practices in data security data quality and data governance.
• Optimize and tune SQL queries and database performance for high-concurrency environments.
• Collaborate with software engineering and analytics engineering teams to integrate data pipelines with application systems.
• Leverage cloud platforms (AWS & Azure) to design and deploy data solutions that are scalable cost-effective and meet the organizations needs.
• Act as a mentor and provide guidance to junior data engineers promoting skill growth within the team.
• Quality and Validation
• Participate in validation testing and review of analytics and AI/ML solutions to ensure they meet business and performance requirements.
• Support data quality consistency and governance practices within assigned solutions.
• Technology Awareness
• Stay informed about the latest developments in AI/ML technologies and industry best practices.
• Assess new tools and technologies for potential application within the organization.

Qualifications:

• Bachelors Degree and minimum 6 years of prior relevant experience. Graduate Degree and a minimum of 4 years of prior related lieu of a degree minimum of 10 years of prior related experience.
  • Bachelors degree in Data Science Computer Science Mathematics Engineering or related field.
• 4 years of experience in data science advanced analytics data analysis or related role.

Preferred Additional Skills:

• Strong knowledge of AI/ML concepts and common models such as regression classification clustering and deep learning.
• Proven experience in requirement gathering solution design and project management.
• Strong communication skills with the ability to convey technical concepts to non-technical audiences.
• Strong problem-solving skills and a proactive approach to identifying and addressing business challenges.
• Experience with programming languages and tools commonly used in AI/ML workflows (e.g. Python R SQL).

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