Data & Insights Data Architecture Remote
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.