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

Role Description The Consulting Data Engineer role requires experience in both traditional warehousing technologies (e.g. Teradata, Oracle, SQL Server) and modern database/data warehouse technologies (e.g., AWS Redshift, Azure Synapse, Google Big Query, Snowflake), as well as expertise in ETL tools and frameworks (e.g. SSIS, Azure Data Factory, AWS Glue, Matillion, Talend), with a focus on how these technologies affect business outcomes. This person should have experience with both on-premise and cloud deployments of these technologies and in transforming data to adhere to logical and physical data models, data architectures, and engineering a dataflow to meet business needs. This role will support engagements such as data lake design, data management, migrations of data warehouses to the cloud, and database security models, and ideally should have experience in a large enterprise in these areas. Qualifications - Bachelor’s Degree in Arts/Sciences (BA/BS) or related field - A combination of education, training and experience may be considered in lieu of a degree - A minimum of 3-5 years progressive experience in a related field - Experience with at least one traditional data warehousing technology (e.g., Teradata, Oracle, SQL Server) and/or modern platforms (e.g., AWS, GCP, Azure) - Experience in one scripting language (e.g. Python, Java, Scala) - Experience in SQL scripting, tuning, indexing, partitioning, data access patterns, and scaling strategies - Experience with data integrations and data processing for business intelligence and analytics workloads - Experience as a key player in developing an enterprise data warehouse - US Security Clearance is Required - currently have security clearance Requirements - Ability to translate a logical data model into a relational or non-relational solution - Expert in one or more of the following ETL tools: SSIS, Azure Data Factory, AWS Glue, Matillion, Talend, Informatica, Fivetran - Hands-on experience in setting up End to End cloud-based data lakes - Hands-on experience in database development using views, SQL scripts and transformations - Ability to translate complex business problems into data-driven solutions - Working knowledge of reporting tools like Power BI, Tableau, etc. - Ability to identify data quality issues that could affect business outcomes - Flexibility in working across different database technologies and propensity to learn new platforms on-the-fly - Strong interpersonal skills - Team player prepared to lead or support depending on situation - Travel Requirements: Up to 25% of the time Domestic and International Travel Benefits - Health and Wellbeing: Health, Dental, and Vision Care, Onsite Health Centers, Employee Assistance Program, Wellness program - Financial Benefits: Competitive pay, Profit Sharing, 401k Plan with Company Matching, Life and Disability Insurance, Tuition Reimbursement - Paid Time Off: PTO and Sick Leave (starting at 20 days per year) & Holidays (10 per year), Parental Leave, Military Leave, Bereavement - Additional Perks: Nursing Mothers Benefits, Voluntary Legal, Pet Insurance, Employee Discount Program

Data Platform Engineer This is a vacancy for the 26-27 school year with a target start date of July 1, 2026 Mission: The Data Platform Engineer builds and operates IDEA’s data infrastructure on Snowflake, enabling reliable, scalable access to data that supports analytics, reporting, and research across multiple states. This role designs automated ingestion pipelines, optimizes platform performance and cost, and ensures the data platform functions as a production-grade system for downstream teams. Reporting to the Manager of Data Platform Engineering, this engineer works hands-on with ELT pipelines, infrastructure-as-code, and Snowflake administration while contributing to IDEA’s transition from legacy ETL systems to a modern lakehouse architecture. Supervisory Responsibilities: Individual contributor role with no direct reports. Senior engineers may mentor peers and lead technical initiatives. Location: This is a full-time remote position based in Texas, with preference given to candidates who live in Austin, El Paso, Houston, Permian Basin (Midland/Odessa), Rio Grande Valley, San Antonio, and Tarrant County (Fort Worth), or who are willing to relocate. Travel Expectations: Minimal travel (5–10% annually) for collaboration, training, or critical implementation milestones. What You’ll Do – Accountabilities Essential Duties: - Design, build, and maintain automated ELT pipelines ingesting data from diverse source systems into Snowflake. - Configure and manage cloud-native ingestion tools and custom Python-based pipelines when needed. - Build and maintain Bronze-layer tables with schema evolution handling, audit metadata, and lineage. - Implement ingestion-level validation and monitoring to catch issues early. - Document source configurations, refresh schedules, and troubleshooting procedures. - Partner with Analytics Engineering to ensure ingestion patterns support downstream transformation needs. - Administer Snowflake environments, including databases, schemas, warehouses, access controls, and security settings. Additional Duties and Responsibilities: - Optimize performance and cost through warehouse sizing, clustering, query analysis, and resource monitoring. - Manage Snowflake objects using infrastructure-as-code patterns. - Implement security best practices including RBAC, encryption, auditing, and network policies. - Evaluate and adopt new Snowflake capabilities as appropriate. - Own Terraform-based infrastructure definitions for Snowflake and related platform components. - Automate recurring operational tasks such as provisioning, access grants, and environment setup. - Build CI/CD pipelines for infrastructure changes with testing and safe deployment practices. - Develop reusable templates and modules to accelerate onboarding of new sources and domains. - Maintain clear documentation and runbooks for platform operations. - Implement monitoring and alerting for pipelines, platform health, and performance. - Troubleshoot pipeline failures and platform issues using systematic root-cause analysis. - Embed observability (logging, metrics, alerts) into all production pipelines. - Collaborate closely with Analytics Engineering, DataOps, and Data Governance partners. - Participate in code reviews and design discussions. - Share platform knowledge through documentation, mentoring, and team forums. - Contribute to retrospectives and continuous improvement efforts. Knowledge and Skills – Competencies - Make Strategic Decisions: This team member uses data, feedback, and insights to inform thoughtful decision-making, while considering the impact on their direct reports and team. They communicate decisions with clear rationale and begin to connect their choices to broader team objectives. - Manage Work and Teams: This team member sets clear, measurable goals and regularly reflects on progress, adjusting actions as needed. They prioritize work aligned with their goals using a task management system and consistently meet deadlines through effective time management. - Grow Self and Others: This team member regularly offers affirming and adjusting feedback, maintaining a positive balance that reinforces growth and motivation. They provide transparent, candid performance insights and offer consistent coaching and development aligned with individual goals, supporting both direct reports and cross-functional partners. - Build a Culture of Trust: This team member proactively builds strong personal and professional relationships with individual stakeholders and regularly seeks feedback to improve their work experience. They create a supportive environment where others feel safe to take risks and learn from mistakes without fear of retribution. - Communicate Deliberately: This team member communicates thoughtfully by anticipating potential misunderstandings and providing necessary context to ensure clarity. They leverage structured communication channels to address challenges, ask meaningful questions, and guide conversations toward solutions, while actively listening to the concerns of others. Additional Skills: Required - Hands-on experience administering Snowflake or similar cloud data platforms. - Strong SQL skills for data extraction, validation, and performance tuning. - Experience building and operating automated data pipelines. - Proficiency with Python and scripting for automation and operational tooling. - Experience operating production systems with monitoring and incident response. - Familiarity with infrastructure-as-code and CI/CD concepts. Preferred - Experience with cloud-native ingestion tools (e.g., Fivetran, Airbyte). - Experience with Terraform or similar IaC tooling. - Familiarity with dbt and analytics engineering workflows. - Exposure to orchestration, data quality, or observability tools. - Experience with education, public sector, or regulated data environments. Required Education and Experience: - Bachelor’s degree in a technical field or equivalent practical experience. - 3+ years of experience in data engineering, platform engineering, or related roles. - Demonstrated experience building and operating production data systems. - Hands-on experience with Snowflake or comparable cloud data warehouses. Preferred Education and Experience: - Snowflake or cloud platform certifications. - Experience supporting multi-team data platforms at scale. - Strong Python proficiency beyond basic scripting. Physical Requirements: - Prolonged periods working on a computer and in virtual meetings - Ability to travel domestically via car and air travel to campuses and state office - Flexibility for occasional evening meetings with distributed stakeholders across time zones What We Offer: Compensation & Benefits: Salaries for people entering this role typically fall between $89,600 and $105,300, commensurate with relevant experience and qualifications and in alignment with internal equity. This role is also eligible for performance pay based on organizational performance and goal attainment. Additionally, we offer medical, dental, and vision plans, disability, life insurance, parenting benefits, flexible spending account options, generous vacation time, referral bonuses, professional development, and a 403(b) plan. You can find more information about our benefits at https://ideapublicschools.org/careers/benefits/. * IDEA may offer a relocation stipend to defray the cost of moving for this role, if applicable. Application process: Submit your application online through Jobvite. Please note that applications will be reviewed on an ongoing basis until the position is filled. Applicants are encouraged to apply as early as possible. Learn more about IDEA At IDEA the Staff Experience Team uses our Core Values to promote human connection and a culture of integrity, respect, and belonging for all Team and Family members. Learn more about our Commitment to Core Values here: https://ideapublicschools.org/our-story/#core-values

We Impact Lives Through Purpose-Driven Work in A People First Culture Ascend Learning, a leading healthcare and learning technology company, is the connection between a powerful portfolio of brands serving students, educators, and employers with outcomes-based, data-driven solutions across the lifecycle of learning. From testing to certification, Ascend Learning products are used by physicians, emergency medical professionals, nurses, allied health professionals, certified personal trainers, financial advisors, skilled trades professionals and insurance brokers. Headquartered in Burlington, MA, with additional office locations and hybrid and remote workers in cities across the U.S., Ascend Learning was recognized by Newsweek and Plant-A Insights Group as one of America’s 2025 Greatest Workplaces as well as America’s Best Places to work for Mental Well-Being for 2025.  We're always looking for talented, passionate professionals to join us in our mission to help change lives. If this sounds like an environment where you'd thrive, read on to learn more.  WHAT YOU'LL DO As a Senior Data Engineer, you will be responsible for designing, building, and maintaining scalable and robust data pipelines and architectures. You will play a critical role in enabling data-driven decision-making by ensuring the availability, integrity, and performance of our data systems. You will work closely with business intelligence team, data scientists, and other stakeholders to support advanced analytics initiatives and contribute to our overall data strategy. WHERE YOU’LL WORK This position has the flexibility of remote work in the United States. HOW YOU’LL SPEND YOUR TIME - Design and optimize complex data models, schemas, and storage structures across SQL Server, Snowflake, and other platforms to maximize performance, scalability, and data accessibility. - Lead the implementation and continuous improvement of enterprise-wide data warehouse strategies, ensuring data integrity, consistency, and alignment with organizational standards. - Design, develop, and maintain robust, scalable ETL/ELT pipelines leveraging SQL Server, Kafka, Azure Data Factory, Snowflake, and complementary technologies to support high-volume, real-time, and batch data processing. - Partner closely with business intelligence teams, data scientists, analysts, and key stakeholders to gather detailed requirements, translate them into scalable technical solutions, and deliver actionable data assets that drive business outcomes. - Collaborate with the data architecture team to define and implement scalable, high-performance data infrastructure and solutions aligned with enterprise data strategy. - Proactively monitor, troubleshoot, and optimize data pipelines and database systems to ensure high availability, reliability, and minimal latency, swiftly addressing any bottlenecks or failures. - Define, enforce, and champion data governance frameworks, ensuring compliance with data privacy regulations, security policies, and organizational standards. - Drive enhanced data observability by implementing comprehensive monitoring, logging, and alerting mechanisms to enable proactive identification and resolution of data quality and pipeline issues. - Stay abreast of emerging data engineering technologies, tools, and industry best practices to continuously innovate and improve data platform capabilities. - Provide technical leadership and mentorship to junior data engineers, fostering a culture of excellence, knowledge sharing, and adherence to best practices in data engineering and management. WHAT YOU'LL NEED - High school diploma or GED required. Bachelor’s degree in computer science, software engineering, information technology, or a related field or relevant work experience preferred - 6+ years of experience in a data engineering role with a strong focus on data warehousing and ETL processes - Skilled in SQL Server, MySQL, and Snowflake. Design data models, write SQL queries, and optimize database performance. - Experienced in building ETL pipelines using Azure Data Factory, SSIS, and Kafka for data integration and transformation. - Strong background in real-time data processing with Kafka and streaming technologies. - Knowledgeable in data warehouse design, data modeling, and database best practices. - Proficient in Python and Java for scripting and automating data workflows. - Hands-on experience with Azure Cloud Services like Azure Data Factory, Azure Databricks, and Azure SQL Database. Deploy and manage scalable data solutions on Azure. - Familiar with cloud infrastructure, automation, and security best practices to ensure reliable and secure data systems. - Understand data governance, data security, and compliance standards such as GDPR and HIPAA. - Strong problem-solving skills to quickly identify and fix data engineering issues. - Good communication skills to explain technical details clearly to both technical teams and business users. - Experience with RESTful APIs for integrating data systems. - Comfortable with additional programming languages like Scala and advanced Python. - Familiar with data visualization and BI tools to help deliver clear insights. BENEFITS - Flexible and generous paid time off - Competitive medical, dental, vision and life insurance - 401(k) employer matching program - Parental leave - Wellness resources - Charitable matching program - On-site workout facilities (Leawood, Gilbert, Burlington) - Community outreach groups - Tuition reimbursement Fostering A Sense of Belonging Our values-driven culture unifies our teams and inspires a mindset of action, innovation, and collaboration, with a relentless focus on customers. We seek out and celebrate all people and perspectives and cultivate an inclusive culture where everyone can thrive, feel valued, and be authentic. Our culture is firmly rooted in the belief that by embracing our differences and drawing on diverse perspectives, we are a stronger, more innovative, and more successful organization where employees experience a sense of belonging.  Ascend Learning, LLC is proud to be an equal opportunity employer (M/F/Vets/Disabled). No agency or search firm submissions will be accepted. Applications for U.S.-based positions with Ascend Learning, LLC must be legally authorized to work in the United States, and verification of employment eligibility will be required at the time of hire.