Data Meaning

• Lead architecture assessment and documentation of the current data platform (Snowflake, Airflow, AWS) • Design the future-state data platform architecture following modern ELT and dbt best practices • Define standards for: data modeling, pipeline architecture, transformation frameworks, governance and data quality • Lead the migration of transformation logic into dbt models • Define architectural patterns for: staging layers, intermediate layers, data marts • Implement automated testing frameworks within dbt • Lead discovery sessions and technical workshops with the client’s data engineering teams • Document architecture, pipelines, and operational processes • Conduct architecture walkthrough sessions during knowledge transfer phases • Define standards for CI/CD, monitoring frameworks, and data quality validation • Establish schema management and governance best practices • Optimize Snowflake compute usage and platform performance • Design scalable orchestration strategies for Airflow pipelines • Improve platform reliability, monitoring, and operational observability

• Design, develop, and maintain backend applications using Python and Django. • Build scalable, reliable, and maintainable software solutions. • Collaborate with cross-functional teams to deliver high-quality features and enhancements. • Participate in code reviews and follow Git-based development workflows, including branching strategies and pull requests. • Deploy and support applications in cloud environments, with a preference for Microsoft Azure. • Troubleshoot production issues and contribute to ongoing application monitoring and maintenance. • Work in Linux-based development and deployment environments. • Contribute to CI/CD pipelines and deployment automation when applicable. • Collaborate across both backend and frontend development when needed.

• Design, develop, and maintain data transformation workflows using dbt. • Build and optimize ETL/ELT pipelines that ingest, cleanse, and transform data from multiple sources. • Develop and maintain data preparation workflows using Alteryx. • Create and maintain Python scripts to automate data processing and pipeline tasks. • Ensure data pipelines are scalable, reliable, and well documented. • Monitor scheduled jobs and troubleshoot pipeline failures, data quality issues, and performance bottlenecks. • Perform root cause analysis and implement long-term solutions for recurring production issues. • Maintain operational documentation and runbooks. • Design, develop, and maintain dashboards and reports using MicroStrategy. • Translate business requirements into intuitive and effective reporting solutions. • Optimize dashboards for usability and performance. • Support existing reports by resolving issues, improving functionality, and ensuring successful data refreshes.

• Design, develop, and maintain enterprise BI solutions using both Power BI and MicroStrategy. • Create and support dashboards, reports, dossiers, scorecards, and analytical applications across multiple BI platforms. • Gather and translate business requirements into scalable reporting and analytics solutions. • Design and optimize semantic layers, data models, hierarchies, metrics, attributes, and KPIs. • Develop and maintain calculations, measures, and business logic within Power BI and MicroStrategy environments. • Collaborate with data engineering teams to ensure data quality, governance, performance, and scalability. • Support data integration, reporting modernization, and BI platform enhancement initiatives. • Troubleshoot and optimize existing BI solutions, reports, dashboards, and semantic models. • Participate in BI architecture discussions and contribute to best practices, standards, and governance processes. • Work directly with business users, stakeholders, and clients to deliver data-driven solutions and actionable insights.

• Design and architect enterprise-level BI solutions using MicroStrategy. • Develop and maintain MicroStrategy metadata, schemas, cubes, reports, dossiers, and dashboards. • Define BI architecture standards, best practices, and governance processes. • Optimize report performance, SQL generation, caching, and overall platform efficiency. • Collaborate with Data Engineers and Architects on data warehouse and semantic layer design. • Support enterprise reporting environments, security configurations, and user access management. • Lead troubleshooting and root cause analysis for platform or reporting issues. • Participate in requirement gathering sessions with business and technical stakeholders. • Ensure scalability, maintainability, and reliability of BI solutions. • Mentor developers and provide technical leadership to the BI team.

• Develop, test, fine-tune, and optimize computer vision and object detection models using video and image datasets • Support the deployment of ML models in production or near-production environments • Analyze and process large-scale visual datasets, including annotation workflows and video sample preparation • Build new models and adapt pre-trained models to support operational and safety-focused use cases • Evaluate technical feasibility and prioritize AI/ML use cases according to business timelines and delivery goals • Collaborate with cross-functional stakeholders including Infrastructure, Operations, AI Engineering, and business teams to translate operational requirements into technical solutions • Contribute to the development of real-time detection and alerting capabilities using camera-based systems • Support rapid prototyping and MVP delivery initiatives within fast-paced environments

• Lead Azure Purview Implementations • Architect and deliver end-to-end Microsoft Purview solutions across enterprise environments • Design and configure Data Map, scanning strategies, Metadata ingestion, and classification frameworks • Establish scalable patterns for cataloging, discovery, and governance automation • Define Data Governance Strategy • Design and implement enterprise data governance operating models • Build & Integrate Data Pipelines using Azure Data Factory (ADF), dbt, Databricks, and Alteryx • Develop Python-based solutions for workflow automation, API integrations, and data operations • Collaborate with analytics teams to define semantic layers and business logic in dbt • Ensuring governance is embedded in data pipelines • Conduct governance maturity assessments and define transformation roadmaps • Document data pipelines, models, and governance policies

Alteryx Specialist Location: BR, remote. Position Type: temporary contract Salary: TBD Data Meaning is a front-runner in Business Intelligence and Data Analytics consulting, renowned for our high-quality consulting services throughout the US and beyond. Our expertise lies in delivering tailored solutions in Business Intelligence, Data Warehousing, and Project Management. We have a diverse, global team of consultants, all working remotely, embodying a collaborative, inclusive, and innovation-driven work culture. Position SummaryWe are looking for an Alteryx Specialist to design, develop, and support scalable analytics solutions using Alteryx. This role combines hands-on development (Designer), platform support (Server), and stakeholder collaboration, working closely with internal teams and clients to deliver efficient, high-performing, and maintainable analytics environments. Key Responsibilities: - Design, develop, and maintain analytics workflows using Alteryx Designer - Support and optimize Alteryx Server environments, including scheduling, permissions, monitoring, and troubleshooting - Translate business requirements into scalable analytics solutions - Perform advanced data preparation, transformation, and automation using Alteryx and SQL - Support deployment and maintenance of workflows across development and production environments - Collaborate with stakeholders to deliver data-driven solutions aligned with business needs - Contribute to best practices, documentation, and analytics standards - Work with BI tools (e.g., Power BI, Tableau, Qlik) to support downstream reporting and dashboards Required Qualifications: - Advanced english level - 5+ years of experience in data analytics with strong focus on Alteryx - Strong hands-on experience with Alteryx Designer - Experience with Alteryx Server (administration, deployment, or support) - Solid SQL skills and experience with relational databases - Experience building and maintaining data workflows and automated pipelines - Familiarity with BI tools such as Power BI, Tableau, or Qlik - Ability to communicate effectively with both technical and non-technical stakeholders - Strong problem-solving skills and ability to work independently in a remote environment Nice to have: - Alteryx certifications (Core, Advanced, or Server) - Knowledge of Python and/or R - Experience with cloud platforms (AWS, Azure, or GCP) - Exposure to data architecture or enterprise analytics environments - Experience in consulting or client-facing roles

• Develop and maintain ELT pipelines using Snowflake, Python, and Apache Airflow • Implement data ingestion and transformation logic for batch and incremental pipelines • Convert existing SQL transformations into dbt models • Implement dbt testing frameworks (schema, relationship, freshness tests) • Participate in pipeline walkthroughs and knowledge transfer sessions with the existing team • Document data pipelines and operational procedures • Support the transition from vendor-managed pipelines to Data Meaning ownership • Monitor production pipelines and data workflows • Troubleshoot pipeline failures and operational issues • Improve monitoring, alerting, and operational reliability • Implement automated data validation and quality checks • Support the development of a data quality framework

• Analyzing team skills gap analysis and defining team development plan and training needs • Hiring, coaching, and mentoring of the PS Delivery team • Defining and refining internal Delivery Management processes, KPI, roles and responsibilities • Managing creation and tracking of forecasts and budget • Assessing risks and creating strategies for risk mitigation and project contingency planning • Managing projects with geographically diverse teams • Leading, planning, scheduling and managing project deliverables, goals, and milestones • Facilitating the team to successfully plan and execute deliverables using Agile techniques • Overseeing and assisting BAs and end users in testing activities • Collaborating with accounting manager to ensure project billing and invoicing are executed on time and accurately • Managing the process for the customer satisfaction program for services delivery • Collaborate with the VP of Professional Services to improve existing Standard Operating Procedures