Job title: Data & Insights Data Architecture
Location: Dallas, TX (Remote)
Duration: Contract to hire
As a Data Architect, you will be at the forefront of designing and architecting comprehensive data solutions across multiple platforms aligned with client needs and objectives.
Role & Responsibilities:
• Lead data architecture transformations and/or migration to modern cloud solutions, ensuring robustness and scalability of the soltuion.
• Design and implement Virtual Cloud solutions including virtual network and management of network routings and subnets.
• Design efficient, scalable ETL/ELT pipelines that streamline data processing and integration. Experience with integrating data across disparate systems using APIs and data integration tools
• Design scalable, high-performance data models and databases, including Medallion Data Warehouse architecture, Data Lakehouses, dimensión modelling (Star and/or Snowflake schemas), and other relevant design patterns.
• Manage one or more Data projects, owning the end-to-end execution and owning responsibilty of the outcomes
• Lead cross-functional teams to deliver on client goals, providing technical guidance and ensuring alignment with best practices.
• Engage with clients and stakeholders to understand business goals, provide technical expertise, and deliver tailored solutions.
• Ensure all designed solutions meet the highest standards of quality, performance cost-effectiveness, and access policy management.
• Stay updated with emerging industry trends and technologies, integrating them into solutions to provide added value to clients.
Hard Skills - Must have:
• Advanced or expert-level experience with one or more Database technologies (e.g. SQL Server) and modern data warehousing solutions (e.g., Snowflake, Databricks, Redshift, BigQuery).
• Experience with integrating data across disparate systems using APIs and data integration tools
• Proficiency in industry leading data movement and transformation tolos such as Snaplogic, dbt, Matillion, Fivetran, Azure Data Factory, AWS Glue
• Expertise in advanced analytics, including predictive modeling and statistical analysis.
• Experience with BI tools (e.g., Tableau, Power BI, Looker) for data visualization and data analysis tools (e.g. Python, R) for decision-making.
• Familiarity with DevOps practices for data (e.g., DataOps) and automation tools (e.g., Jenkins, Terraform) to streamline data workflows.
• Familiarity with Agile/Scrum methodologies.
Soft Skills / Business Specific Skills:
• Strong leadership skills with experience managing data teams, including data engineers and analysts
• Sociable and able to build positive relationships across all levels of an organization.
• Ability to communicate effectively with clients, leadership, and executive teams.
• Experience working with distributed teams and clients.
Other Preferred Skills (Bonus points):
• Understanding of data governance frameworks and best practices.
• Experience building and deploying ML models using ML frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-Learn).
• Familiarity with cloud-based AI/ML platforms (e.g., AWS SageMaker, Google AI Platform, Azure ML).
• Experience with Generative AI models and applications, and understanding of ethical implications and bias mitigation strategies in Generative AI.