Design scalable data models for ad delivery, audience segmentation, campaign reporting, inventory, and billing.
Conduct exploratory data analysis and profile existing data sources to assess data quality and identify integration risks.
Architect cloud-native data solutions using AWS services and establish data governance standards.
Tech Holding is a full-service consulting firm delivering predictable outcomes and high-quality solutions. It is a team of experienced professionals from startups to Fortune 50 firms, with a culture based on deep expertise, integrity, transparency, and dependability.
Owns and evolves the enterprise data model across core corporate systems.
Establishes data standards, governance processes, and field-level mapping frameworks.
Partners with Data Engineering and Information Security to ensure data quality and compliance.
ConnectWise is a global software company that provides solutions for technology solution providers to manage their businesses and deliver amazing customer experiences. With over 3,000 colleagues worldwide, it fosters an inclusive, positive culture that values unique contributions.
Design and maintain the enterprise data architecture roadmap, aligning data strategy with business priorities and technology goals.
Lead the evolution of data platforms including warehouse and lake-house architecture, and champion a Data Mesh strategy for domain-oriented data ownership.
Provide technical mentorship and strategic advisory across data initiatives, ensuring architectural soundness and alignment with enterprise standards.
Lifeway exists to serve the church by making disciples of Jesus Christ through resources and services. The company fosters a remote-first culture with a strong mission focus and offers comprehensive benefits to full-time employees.
Define large-scale data architecture decisions for batch/streaming platforms, warehouses, and lakehouses.
Architect observability, alerting, and incident-response frameworks to monitor data pipeline health and SLAs.
Partner across teams to define standards for data quality, lineage, access control, and governance.
Applied Systems builds technology that solves real problems for insurance professionals. With over 40 years of experience, the company fosters a people-first culture built on trust, inclusion, and growth.
Design end-to-end cloud-native data architectures using AWS and Databricks.
Architect scalable batch and real-time data processing solutions using Apache Kafka and streaming technologies.
Collaborate with business stakeholders to translate requirements into scalable technical solutions.
Allwyn Corp is a technology company that provides data solutions and cloud-native services. The company values innovation and technical excellence, fostering a culture of collaboration and continuous learning.
Lead the technical vision, architectural strategy, and data modeling frameworks for Privia's enterprise data platform.
Design and govern Privia's multi-layered data architecture on Snowflake using Medallion Architecture principles and healthcare data integration.
Provide technical leadership, mentorship, and cross-functional collaboration to ensure scalable, secure, and performant data solutions.
Privia Health is a technology-driven, national physician enablement company that collaborates with medical groups, health plans, and health systems to optimize physician practices and improve patient experiences. The company is led by top industry talent and exceptional physician leadership, with a focus on scalable operations and end-to-end, cloud-based technology.
Define scalable architectures for enterprise data platforms across ingestion, storage, processing, governance, and consumption.
Establish technical standards for data modeling, security, reliability, and lifecycle management.
Mentor engineers and guide architectural direction while partnering with cross-functional teams.
The company is a technology organization focused on building enterprise data platforms. It fosters a culture of innovation and collaboration, with a focus on technical excellence.
Design, build, and operationalize data infrastructure powering analytics and business intelligence, including end-to-end data pipeline development and cloud migration.
Own DataOps practices including CI/CD, infrastructure-as-code, and platform reliability across multi-cloud environments in a regulated setting.
Manage data quality, governance, and platform operations, collaborating with compliance and cybersecurity teams in a cleared environment.
Voyager is an innovative space, defense, and national security technology company committed to delivering transformative, mission-critical solutions. They are a company of doers, thinkers, and builders, united by purpose and grounded in reality, with a highly talented team in an innovative, mission-driven environment.
Design and deliver end-to-end data solutions for enterprise clients.
Build and maintain modern data lakes, warehouses, and analytical models.
Act as technical point of contact, mentor engineers, and drive quality.
The company is a consulting firm that delivers modern data platforms and analytics solutions for multinational clients. The culture emphasizes collaborative engineering, technical ownership, and work-life balance.
Assess data, integration, and governance maturity, validate business vision, and define MDM architecture.
Identify priority domains, analyze source systems, and define CRUD processes for enterprise entities.
Define target MDM logical architecture, evaluate entity resolution, and create a phased implementation roadmap.
Derex Technologies Inc provides IT consulting, staffing solutions and software services. Based in Harrison, New Jersey since 1996, the company delivers technology professionals and customized IT talent solutions across various industries.
Architect enterprise-scale Databricks data platforms with guardrails, automation, and standards to enable safe self-service by business teams.
Design high-volume batch and real-time streaming pipelines using PySpark and Structured Streaming, integrating Unity Catalog with third-party metadata.
Communicate architectural decisions to technical and business stakeholders, produce documentation, and partner with client teams to translate use-case needs into platform capabilities.
Caylent is an AI-first cloud services company that helps organizations turn ambitious ideas into meaningful business impact using AWS, AI, and Anthropic's Claude platform. They are a fully remote global company with employees across Canada, the US, and Latin America, fostering a culture of technological curiosity and inclusion.
Build and maintain scalable data pipelines using Python, dbt, and Snowflake-native tooling on AWS.
Develop and maintain Snowflake semantic views to support analytics and reporting needs.
Implement data access controls and ensure pipelines meet enterprise data governance standards.
The Enterprise Analytics Center of Excellence is building a next-generation analytics stack centered on Snowflake, AWS, and Sigma. The team focuses on collaboration, continuous improvement, and enabling analytics teams with reliable data.
Define and govern scalable enterprise data and integration architectures across Microsoft Fabric, Azure, and core business systems.
Partner with business stakeholders, data teams, and IT to translate requirements into technical blueprints and long-term platform roadmaps.
Drive platform cost optimization, performance tuning, and ensure compliance with security, confidentiality, and regulatory standards.
Arista Networks is an industry leader in data-driven, client-to-cloud networking for large data center, campus and routing environments. The company values diversity and innovation, has been recognized with awards for engineering excellence and work-life balance, and fosters an inclusive culture.
Design and implement scalable data platforms using Snowflake, Databricks, and AWS.
Build AI-ready data architectures supporting analytics, ML, and LLM applications.
Establish data governance, security, and best practices while mentoring engineering teams.
The company is a partner organization that specializes in data and AI solutions. It operates with a remote-first culture and emphasizes collaboration and continuous learning.
Define strategic Databricks adoption roadmaps and platform guardrails for enterprise clients.
Embed with client teams to implement high-priority use cases, then guide them toward self-service.
Act as a data engineering SME in pre-sales and coach client teams on Databricks best practices.
Caylent is an AI-first cloud services company that helps organizations turn ambitious ideas into meaningful business impact. They are a fully remote global company with employees across Canada, the United States, and Latin America, fostering a culture of technological curiosity and inclusion.
Design and implement scalable data architectures to meet business needs.
Develop and optimize data pipelines for ingesting and processing large volumes of data.
Provide technical leadership and mentorship to junior engineers.
Oportun is a mission-driven financial services company that provides affordable credit and financial tools. Since inception, it has provided over $21.3 billion in credit and saved members $2.5 billion, and fosters a diverse, inclusive culture.
Become a trusted data and AI advisor, translating business questions into AI-ready data architectures.
Design and implement AI-optimized data platforms, including cloud data warehouses, lakehouses, and ETL/ELT pipelines.
Engineer modern ELT/ETL pipelines and data models using SQL, Python, and tools like Snowflake, Databricks, and dbt.
Aimpoint Digital is a fully remote data and analytics consultancy that partners with innovative software providers to solve complex business problems. The team is dynamic and collaborative, working independently on client engagements across industries.
Guide strategic enterprise customers through cloud data engineering transformations, including performance testing and production-ready pipeline architecture.
Prove platform value by architecting solutions for big data, data warehousing, and lakehouse use cases.
Support technical sales through custom proofs of concept, workload sizing, and community workshops.
Databricks is the Data and AI company, providing a unified platform for data, analytics, and AI to over 20,000 organizations worldwide, including 70% of the Fortune 500. Headquartered in San Francisco with 30+ offices globally, it fosters a diverse and inclusive culture and offers comprehensive benefits.
Lead the design and optimization of modern data architectures for AI-driven applications.
Manage hybrid database environments and implement ETL/ELT strategies.
Act as a technical advisor and collaborate with engineering teams to deliver scalable solutions.
The partner company specializes in designing and building advanced data platforms for AI-driven applications. They foster a collaborative and inclusive culture with a focus on continuous learning and professional development.