Source Job

• Design, build, and optimize scalable data lakes, warehouses, and data pipelines using Snowflake and modern cloud platforms.
• Develop and maintain robust data models (ELT/ETL), ensuring clean, reliable, and well-documented datasets.
• Design and manage end-to-end data pipelines that ingest, transform, and unify data from multiple systems.

Cobalt Service Partners is building the leading commercial access and security integration business in North America. Backed by Alpine Investors, with $15B+ in AUM, Cobalt has scaled rapidly since launch through acquisitions and is building a differentiated, data-driven platform.

• Build and lead a focused team for high ownership and fast decision-making.
• Own Onebrief’s data model, schema, and evolution strategy.
• Lead large-scale architectural change, setting standards for data.

Onebrief is collaboration and AI-powered workflow software designed specifically for military staffs. They operate as an all-remote company with a team spanning veterans from all forces and global organizations, and technologists from leading-edge software companies.

• Design and evolve the enterprise Azure Lakehouse architecture.
• Lead the transformation of classic Data Warehouse environments into modern Lakehouse.
• Define and implement architecture principles, standards, patterns, and best practices for data engineering and analytics platforms.

Deutsche Telekom IT Solutions Slovakia, formerly T-Systems Slovakia, has been a part of the Košice region since 2006. They have grown to be the second-largest employer in eastern Slovakia, with over 3900 employees, aiming to provide innovative information and communication technology services.

• Design and implement data solutions for enterprise customers.
• Create and maintain technical documentation and architectural diagrams.
• Ensure quality and governance standards are met throughout the engineering lifecycle.

Jobgether is a company that helps candidates get hired. They use an AI-powered matching process to ensure applications are reviewed quickly, objectively, and fairly against the role's core requirements.

• Accountable for designing scalable data models supporting OLTP, OLAP, real-time analytics, and ML workloads.
• Will architect modular, domain-driven data structures for multi-domain analytics.
• Expected to ensure performance, usability, and long-term maintainability of data schemas.

Jobgether uses an AI-powered matching process to ensure candidate applications are reviewed quickly, objectively, and fairly. They identify the top-fitting candidates, and this shortlist is then shared directly with the hiring company.

• Architect and develop cloud-native data platforms, focusing on modern data warehousing, transformation, and orchestration frameworks.
• Design scalable data pipelines and models, ensure data quality and observability, and contribute to backend services and infrastructure supporting data-driven features.
• Collaborate across multiple teams, influence architectural decisions, mentor engineers, and implement best practices for CI/CD and pipeline delivery.

Jobgether uses an AI-powered matching process to ensure applications are reviewed quickly, objectively, and fairly against the role's core requirements. Their system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company.

• Lead the delivery of Data Integration and Analytics solutions across major cloud platforms.
• Engage with customers to provide architecturally sound designs and strategic growth plans.
• Drive technology innovation and improving technical knowledge.

Jobgether helps match candidates using AI-powered matching. They have been established since 2008 with 1300+ talents globally and foster a diverse and inclusive work community.

• Lead the design and implementation of scalable ETL pipelines and data lakes in AWS
• Develop and optimise data architectures for terabyte-scale relational and distributed data systems
• Collaborate with Data Scientists, Software Engineers, and Architects to integrate data solutions into analytics platforms and applications

Smart Working connects skilled professionals with outstanding global teams for full-time, long-term roles. They help discover meaningful work with teams that invest in your success, empowering you to grow personally and professionally in a remote-first world.

• Develop and implement data classification standards for sensitive data.
• Design and maintain enterprise data models for reporting and analytics.
• Support data quality and integrity across integrated source systems.

Jobgether is a platform that connects job seekers with employers using AI-powered matching. They focus on ensuring applications are reviewed quickly and fairly, providing a shortlist of top candidates to hiring companies.

• Leads Data Governance teams and complex governance initiatives.
• Optimizes governance processes and implements quality and compliance controls.
• Translates strategic goals into operational governance plans.

KnowBe4's AI-driven Human Risk Management platform empowers organizations to strengthen their security culture. They are the industry standard with high customer retention and recognition as a Leader by G2 and TrustRadius, with a team that values radical transparency, extreme ownership, and continuous professional development.

• Lead requirements gathering and analysis sessions with clients to determine data requirements.
• Design and build relational databases, and develop strategies for data acquisitions.
• Translate business needs into long-term data architecture solutions.

CIYIS is a consulting company. They value teamwork, honest feedback, and ownership.

• Design, develop, and maintain dbt data models that support our healthcare analytics products.
• Integrate and transform customer data to conform to our data specifications and pipelines.
• Design and execute initiatives that improve data platform and pipeline automation and resilience.

SmarterDx, a Smarter Technologies company, builds clinical AI that is transforming how hospitals translate care into payment. Founded by physicians in 2020, our platform connects clinical context with revenue intelligence, helping health systems recover millions in missed revenue, improve quality scores, and appeal every denial.

• Lead the end-to-end data architecture, designing and implementing data pipelines, warehouses, and lakes that handle petabyte-scale datasets.
• Collaborate with product teams to enable data-driven decision-making across the organization.
• Establish best practices for data quality, governance, and security while mentoring senior engineers and conducting technical reviews.

Cority is a global enterprise EHS software provider creating industry-leading technology. They have been around for over 35 years and are known for strong employee culture and client satisfaction.

• Driving successful business transformation across cloud, data, security, infrastructure, and modernization initiatives.
• Shaping solution direction, guiding delivery teams, establishing architectural standards, ensuring quality across engagements.
• Building strong executive-level client relationships and guiding clients through cloud, data, security, and modernization strategies.

Jobgether uses an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. They identify the top-fitting candidates, and this shortlist is then shared directly with the hiring company.

• Design, build, and maintain scalable data pipelines using Microsoft Fabric and Apache Airflow
• Ingest, transform, and integrate data from a variety of sources, including relational systems, APIs, and MongoDB
• Design and maintain analytical data models, including fact and dimension tables, to support reporting and analytics

Theoria Medical is a comprehensive medical group and technology company dedicated to serving patients across the care continuum with an emphasis on post-acute care and primary care. Theoria serves facilities across the United States with a multitude of services to improve the quality of care delivered, refine facility processes, and enhance critical relationships.

• Designing, deploying, and optimizing data-driven machine learning solutions on AWS.
• Creating secure and scalable ML systems, enabling effective data management and model deployment.
• Leading the enhancement of best practices within the data and ML lifecycle, making a substantial impact across projects and teams.

Jobgether uses an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company.

• Architect and implement Databricks Lakehouse solutions for large-scale data platforms.
• Design and optimize batch & streaming data pipelines using Apache Spark (PySpark/SQL).
• Implement Delta Lake best practices (ACID, schema enforcement, time travel, performance tuning).

They are looking for a Databricks Architect to design and lead modern Lakehouse data platforms using Databricks. The role focuses on building scalable, high-performance data pipelines and enabling analytics and AI use cases on cloud-native data platforms.

• Lead the design and implementation of integration solutions using Informatica IDMC.
• Define integration standards and best practices for development teams.
• Optimize data flows to support governance and performance.

Jobgether uses an AI-powered matching process to ensure applications are reviewed quickly and fairly. AI identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company; final decision and next steps are managed by their internal team.

• Act as a trusted technical advisor throughout the sales cycle.
• Design and articulate robust data architecture solutions tailored for customer requirements.
• Lead technical discovery sessions to comprehend customer data environments and needs.

Jobgether is a platform that connects job seekers with companies. They use an AI-powered matching process to ensure applications are reviewed quickly and fairly.

• Build and optimize scalable, efficient ETL and data lake processes.
• Own the ingestion, modeling, and transformation of structured and unstructured data.
• Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows.

Launch Potato is a digital media company that connects consumers with brands through data-driven content and technology. They have a remote-first team spanning over 15 countries and have built a high-growth, high-performance culture.