PaleoHacks is one of the largest wellness platforms online, dedicated to helping people live healthier lives through paleo and keto nutrition. From cookbooks and meal plans to recipes and practical tips, we’ve supported millions on their health journeys. We’re a remote-first company with a small, talented team of 16 full-time team members spread across the globe. With five growing brands under our umbrella, we’re now doubling down on data—because better reporting leads to better decisions and even bigger growth. That’s where you come in.

Join phData, a dynamic and innovative leader in the modern data stack. We partner with major cloud data platforms like Snowflake, AWS, Azure, GCP, Fivetran, Pinecone, Glean, and dbt to deliver cutting-edge services and solutions. We're committed to helping global enterprises overcome their toughest data challenges. phData is a remote-first global company with employees based in the United States, Latin America, and India. We celebrate the culture of each of our team members and foster a community of technological curiosity, ownership, and trust. Even though we're growing extremely fast, we maintain a casual, exciting work environment. We hire top performers and allow you the autonomy to deliver results. - 6x Snowflake Partner of the Year (2020, 2021, 2022, 2023, 2024, 2025) - Fivetran, dbt, Atlation, and AWS Partner of the Year - #1 Partner in Snowflake Advanced Certifications - 600+ Expert Cloud Certifications (Sigma, AWS, Azure, Dataiku, etc) Recognized as an award-winning workplace in the US, India, and LATAM Target Levels: Lead or Principal Our Data Governance Leaders help clients embed governance and stewardship into how they work every day. You’ll align business and technical teams, stand up practical governance processes, and coach client staff to own their data as stewards. Core Responsibilities - Lead data governance engagements end-to-end as the Engagement Lead—framing problems, defining scope, and delivering outcomes across operating model, stewardship, data quality, metadata, and tooling. - Facilitate governance working groups and forums that align business and technology stakeholders, drive decisions on definitions, business rules, and data quality controls, and ensure ownership by data stewards. - Execute and embed metadata and data quality processes (cataloging, lineage, stewardship workflows, profiling, monitoring, and issue management) into analytics workflows, models, and data platform pipelines. - Support selection, rollout, and adoption of governance and metadata tools (e.g., Collibra, Alation, Atlan, Purview), making recommendations that clearly tie to business outcomes. - Partner on access, privacy, and compliance, ensuring governance practices support regulations (e.g., GDPR, CCPA) and broader data/AI governance standards. - Coach client staff on data stewardship, and prepare clear presentations, training materials, and adoption guides that explain governance in business language. - Focus on day-to-day delivery for one or more complex but bounded data governance engagements, managing plans, timelines, risks, and stakeholder communication. - Translate governance strategy into concrete plans and workstreams—including working groups, policies/standards, glossaries, rules, and controls—with hands-on co‑creation alongside client teams. - Own the quality and readiness of deliverables (operating model, definitions, DQ rules, playbooks) and provide direct coaching to client stewards and project team members. - At the Principal level, you also: - Co‑own account and governance strategy with Client Account Leads and Technical Account Leads, connecting the governance roadmap to the client’s broader data/AI strategy and account growth. - Serve as a trusted advisor to executive stakeholders on governance, risk, and compliance, and play a senior role in critical pursuits and external thought leadership (e.g., talks, panels, publications). Qualifications - 6+ years in data governance, metadata management, or closely related roles. - 2+ years of consulting leadership with external clients, managing multiple workstreams and priorities. - Demonstrated ability to facilitate workshops and working groups, and drive alignment on definitions, business rules, and data quality controls. - Familiarity with governance operating models and stewardship practices, and privacy regulations (e.g., GDPR, CCPA) and how governance supports compliance. - Strong technical literacy across governance and metadata capabilities (cataloging, lineage, DQ), plus AI governance concepts and how they connect to AI strategy. - Adept at making technical and tooling recommendations that are clearly tied to business outcomes and adoption. - Proven ability to coach and mentor others, communicate governance concepts in clear business language, and drive change and adoption. - Track record of collaborating with client stakeholders, technology partners, and cross-functional sales and delivery teams (often across global, distributed teams). - Has repeatedly owned full lifecycle delivery of governance-focused workstreams or engagements as the day‑to‑day Engagement Lead. - Comfortable managing complex single engagements or a small portfolio, with strong planning, execution oversight, and stakeholder communication. - Willingness to travel as required by clients. - Additional expectations at the Principal level: - Has deep experience leading multi‑engagement or multi‑year data governance portfolios as a senior Engagement Lead or Client Principal. - Regularly operates as a trusted advisor to executive teams on governance and risk, with a visible thought leadership profile and a strong track record developing other governance and Engagement Leads. phData celebrates diversity and is committed to creating an inclusive environment for all employees. Our approach helps us to build a winning team that represents a variety of backgrounds, perspectives, and abilities. So, regardless of how your diversity expresses itself, you can find a home here at phData. We are proud to be an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender identity, gender expression, age, veteran status, genetic information, disability, or other applicable legally protected characteristics. If you would like to request an accommodation due to a disability, please contact us at People Operations.

cFocus Software seeks a Data / Platform Engineer to join our program supporting Housing and Urban Development (HUD). This position is remote. This position requires a Public Trust clearance. Qualifications: - Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or related field. - 7+ years of experience in data engineering, platform engineering, or cloud engineering roles. - Experience with data pipeline tools (e.g., Kafka, Kinesis, Logstash, Fluentd). - Experience with SIEM platforms (e.g., Splunk) and log aggregation systems Duties: - Design, build, and maintain data platforms supporting SOC operations, including log aggregation, analytics, and security data pipelines. - Engineer and optimize data ingestion pipelines for security telemetry (SIEM, EDR, cloud logs, network logs). - Develop and maintain scalable data architectures in AWS GovCloud and hybrid environments. - Support real-time and batch data processing for security monitoring and analytics. - Integrate data from multiple sources (cloud services, applications, endpoints, network devices, third-party platforms). - Ensure data quality, integrity, availability, and performance across platforms. - Implement centralized data lake or data warehouse solutions for security analytics. - Support SIEM/SOAR platforms through data normalization, enrichment, and correlation. - Develop dashboards, reporting solutions, and visualization tools for real-time security posture monitoring. - Automate data workflows and platform operations using scripting and orchestration tools. - Support compliance requirements by ensuring proper data retention, logging, and auditability. - Collaborate with SOC analysts and engineers to enable threat detection and response capabilities. - Optimize platform performance, scalability, and cost efficiency. - Implement monitoring, alerting, and observability for data pipelines and platforms. - Maintain documentation for data architecture, pipelines, and integrations.

cFocus Software seeks a SIEM / Data Engineer to join our program supporting Housing and Urban Development (HUD). This position is remote. This position requires a Public Trust clearance. Qualifications: - Bachelor’s degree in Computer Science, Data Engineering, Cybersecurity, or related field. - 5+ years of experience in SIEM engineering, data engineering, or security analytics. - Hands-on experience with SIEM platforms (e.g., Splunk, Elastic, QRadar). - Strong experience building data pipelines using tools such as Python, SQL, or ETL frameworks. Duties: - Design, develop, and maintain SIEM data pipelines for ingestion, parsing, normalization, and enrichment of security logs. - Implement and optimize log aggregation and data collection from on-premise, cloud (AWS GovCloud), and SaaS environments. - Configure and maintain SIEM platforms (e.g., Splunk) including data onboarding, indexing strategies, and performance tuning. - Develop and maintain correlation rules, dashboards, alerts, and detection use cases to support SOC operations. - Ensure data quality, integrity, and availability across security telemetry sources. - Integrate multiple data sources including network logs, endpoint data, cloud logs, application logs, and threat intelligence feeds. - Support real-time and batch data processing to enable threat detection, incident response, and analytics. - Collaborate with SOC analysts, threat intelligence, and incident response teams to improve detection capabilities. - Automate data ingestion, transformation, and enrichment processes using scripting and data engineering tools. - Perform data mapping and normalization aligned with common schemas (e.g., CIM, ECS). - Optimize SIEM storage, retention, and query performance for large-scale data environments. - Support integration with SOAR platforms for automated response and orchestration. - Conduct troubleshooting and root cause analysis of data pipeline issues and ingestion failures. - Maintain documentation for data architecture, pipelines, and configurations. - Support compliance reporting, audit requirements, and data governance aligned with federal standards.