Data Meaning

• 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

• Team Management • Analyzing team skills gap analysis, defining team development plan and training needs • Hiring, coaching, and mentoring of the PS Delivery team and ensuring proper work environment and culture • Coaching direct reports on customer relations, customer-facing best practices related to project delivery • Defining and refining internal Delivery Management processes, KPI, roles and responsibilities, and documentation standards and templates (kick-off meeting, RACI matrix, project status report, budget/forecast) • Project Delivery • Managing creation and tracking of forecasts and budget • Assessing risks and creates strategies for risk mitigation and project contingency planning • Appropriate escalation of risks and issues with leadership • Managing projects with geographically diverse teams • Planning and managing resource capacity • Managing project scope and the change control process as appropriate. • Leading, planning, scheduling and managing project deliverables, goals, and milestones • Adjusting project plans and/or resources to meet changing needs and requirements • Facilitating the team to successfully plan and execute deliverables using Agile techniques • Overseeing and assisting BAs and end users in testing activities • Managing test result tracking, defect remediation and retesting processes • Ensuring and handling appropriate communication to project stakeholders • Providing relevant metrics to gauge team progress with a continual focus on improvement. • Collaborating with accounting manager to ensure project billing and invoicing are executed on time and accurately • Review and approve project hours to ensure they are accurately recorded with detailed documentation describing tasks and deliverables • Working cross-functionally with internal departments, for examples, Finance, Customer Enablement, IT and Marketing • Managing the process for the customer satisfaction program for services delivery • Keeps track of lessons learned during the life of the project and facilitates retrospective conversations with customer during project close out • Collaborate with the VP of Professional Services to improve existing Standard Operating Procedures • Participate in discussion with customer, sales, pre-sales team to design service offerings and create statement of works, if necessary • Collaborate with Sales and Solution Architects to create project plans as part of SOW creation

Lead Data Architect Location: Remote, US based Position type: Full Time Employee Compensation: $190.000 (base + bonus) Job Summary 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. As part of our growth and upcoming initiatives, we are proactively searching for Lead Data Architects to support future data platform modernization initiatives across our client portfolio. Position Summary The Lead Data Architect will lead the architecture assessment, transition planning, and modernization of the client’s data platform. This role will be responsible for designing the future-state architecture, defining best practices for ELT pipelines, and guiding the migration of existing SQL-based transformations into a scalable dbt framework within a Snowflake environment. The position will work closely with the client’s engineering teams and internal Data Meaning consultants, leading knowledge transfer sessions, architecture walkthroughs, and platform transition initiatives to ensure long-term scalability, reliability, and governance of the data platform. Key Responsibilities: - 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 Required Skills & Qualifications: - Advanced / fluent English - 10+ years of experience in Data Engineering or Data Architecture - Strong experience designing and implementing modern data platforms - Expert-level experience with Snowflake - Strong experience implementing dbt transformation frameworks - Advanced SQL modeling and performance optimization - Strong experience with Apache Airflow orchestration - Strong Python programming skills - Experience designing: ELT pipelines, Data warehouse architectures, Transformation frameworks, Large-scale data pipelines - Experience working in cloud environments (AWS preferred) Nice to Have - Snowflake certification - Experience leading data platform migrations or modernization initiatives - Experience implementing Medallion architecture patterns - Experience defining data governance frameworks - Experience working with distributed or global engineering teams

Senior Data Engineer Location: Remote, US based Position type: TBD Job Summary 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. As part of our growth and upcoming initiatives, we are proactively searching for Senior Data Engineers to support future projects and platform modernization efforts across our client portfolio. Position Summary The Senior Data Engineer will play a key role in supporting the transition and modernization of the client’s data platform. The position will focus on pipeline migration, operational stabilization, and the implementation of a dbt-based transformation framework within a Snowflake environment. This role will work closely with the Lead Data Architect and the client’s engineering team, participating in knowledge transfer sessions. Key Responsibilities: - 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 Required Skills & Qualifications: - Advanced/fluent english - 8+ years of experience in Data Engineering - Hands-on experience with Snowflake - Experience working with Apache Airflow - Strong SQL (advanced) skills - Strong Python programming skills - Experience building: ELT pipelines, Data warehouse transformations, Batch and incremental, pipelines, Data ingestion pipelines - Experience working in cloud environments (AWS preferred) Nice to Have - Experience implementing dbt - Experience with data platform migrations - Experience with data pipeline performance optimization

Alteryx Specialist Location: US, remote. Position Type: temporary contract Salary: $37 - $52/h 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: - 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