At Ensono, our Purpose is to be a relentless ally, disrupting the status quo and unleashing our clients to Do Great Things! We enable our clients to achieve key business outcomes that reshape how our world runs. As an expert technology adviser and managed service provider with cross-platform certifications, Ensono empowers our clients to keep up with continuous change and embrace innovation. We can Do Great Things because we have great Associates. The Ensono Core Values unify our diverse talents and are woven into how we do business. We achieve our purpose by living five core values: Honesty, Reliability, Collaboration, Curiosity, and Passion! At Ensono, we are evolving into a software-first Managed Services Provider—a place where AI, automation, and human expertise work together to deliver 10x productivity for our clients. Our Envision Operating System is the backbone of this transformation, orchestrating operations across mainframe, distributed, and cloud environments. Data Engineer (Operational Data & AI Enablement) The Data Engineer plays a pivotal role in Ensono’s evolution toward predictive, zero‑touch managed services. This is not a traditional analytics or back‑office data role. As an operational data and AI enablement engineer, you will design and build production‑grade data pipelines and platforms that power predictive services, anomaly detection, and intelligent automation. From ServiceNow tickets to mainframe and cloud telemetry, you’ll turn raw, noisy operational signals into high‑quality, AI/ML‑ready datasets that enable real‑time insights and proactive operations. The work you do directly impacts uptime, cost optimization, and Ensono’s ability to move from manual, reactive support to a predictive, automated model. We are looking for engineers who don’t just architect pipelines but get things done—builders who deliver working solutions, iterate quickly, and collaborate closely with data scientists, ML engineers, and operations teams to ensure models don’t just run in notebooks but meaningfully change how work gets done in production. If you want to be part of the team rewiring managed services for the AI era, this is your role. What You Will Do Data Pipeline Development Build, optimize, and maintain ELT/ETL pipelines that ingest, clean, and organize operational data from ServiceNow, mainframe environments, distributed systems, and cloud platforms. ServiceNow Data Integration Develop robust extraction, transformation, and ingestion patterns for ServiceNow operational data (incidents, alerts, changes, requests), ensuring it is reliable, well‑modeled, and ready for AI/ML use cases. Data Infrastructure & Architecture Design scalable data models, storage frameworks, and integration layers in Snowflake and related modern data platforms, with an emphasis on performance, reliability, and operational relevance. Data Quality & Governance Implement data quality standards, monitoring, validation, and lineage to ensure pipelines produce clean, trustworthy, and auditable datasets. Collaboration with AI/ML Teams Partner with Data Scientists, ML Engineers, and MLOps to deliver and maintain production‑grade feature pipelines, training datasets, and inference‑ready data, supporting predictive models, anomaly detection, and intelligent runbooks. ML Deployment Enablement Support ML production workflows by enabling model registration, versioning, and lifecycle management within Snowflake, working alongside ML and MLOps teams (model development itself is not the primary responsibility of this role). Snowflake AI & LLM Integration Integrate Snowflake AI components, including Cortex LLMs, into data workflows for use cases such as enrichment, summarization, and operational intelligence. Automation & Optimization Identify opportunities to streamline data workflows, reduce manual intervention, and lower operational costs while improving reliability and scalability. Cross‑Functional Enablement Work with Finance, Procurement, Cloud Operations, Mainframe Operations, and Service Operations teams to ensure data products align with high‑value business outcomes. We want all new Associates to succeed in their roles at Ensono. That's why we've outlined the job requirements below. To be considered for this role, it's important that you meet all Required Qualifications. - Strong SQL skills and solid data modeling fundamentals - Expertise in ELT/ETL pipeline development and orchestration - Python (required) plus experience with at least one of Java, Scala, or C++ - Hands‑on experience with Snowflake or equivalent cloud data warehouse platforms - Minimum of 2 years Snowflake experience required - Proven experience extracting, transforming, and operationalizing data from ServiceNow and/or other enterprise operational systems (e.g., monitoring platforms, ITSM, finance, or HR systems such as Workday or Concur) - Familiarity with observability tooling and distributed data systems - Knowledge of enterprise data governance, compliance, and data lineage practices - Experience supporting AI/ML feature pipelines in production environments - 7+ years' experience is required Mindset & Values - Get Stuff Done – Biased toward execution and results over prolonged design cycles - Business Impact Driven – You build pipelines that directly improve uptime, cost efficiency, and operational predictability - Collaborative Partner – Comfortable working at the intersection of Operations, AI/ML, and business stakeholders - Continuous Learner – Actively explores new tools and techniques to accelerate delivery and improve outcomes Success Looks Like - Reliable pipelines that pull ServiceNow data into Snowflake to support real‑time incident prediction - Faster transitions of AI/ML proof‑of‑concepts into production‑ready data pipelines - Demonstrated cost savings through automated workload optimization and capacity forecasting - Predictive services that scale seamlessly across mainframe, distributed, and cloud environments This Role Is a Strong Fit If You… - Have built data pipelines for operational or event‑driven systems, not just analytics or reporting - Enjoy working close to reliability, uptime, and cost outcomes - Have supported ML systems in production by delivering dependable, high‑quality data - Prefer shipping working solutions over perfect architectures - Are comfortable owning pipelines end‑to‑end, from source systems through production consumption Why Ensono? Ensono is a place where we unleash Associates to Do Great Things – for our clients and for your career. This could mean achieving a professional goal, collaborating with your team on an innovative idea, learning a new skill, reaching a wellness milestone, or engaging in your community through volunteer programs. Whatever it means to you, we want Ensono to be the place where you can do great things. We value flexibility and work-life balance. Positions that are not required to be onsite to support a client may offer the ability to work remotely or hybrid at an Ensono office location. - Unlimited Paid Days Off - Three health plan options - 401k with company match - Eligibility for dental, vision, short and long-term disability, life and AD&D coverage, and flexible spending accounts - Family Forming Benefit including fertility coverage and adoption/surrogacy reimbursement - Paid childbearing and paternal leave - Education Reimbursement, Student Loan Assistance or 529 College Funding - Sabbatical leave - Wellness program - Flexible work schedule As of the date of this posting, a good faith estimate of the current pay scale for this role is $114,000 to $148,000 annually based on a full-time schedule. Please note that placement in the range may vary based on numerous factors including but not limited to skills, experience, internal equity, and business needs. In addition to base salary, other compensation programs, depending on eligibility, include an annual bonus plan based on company and individual performance, and an equity grant under our Associate Equity Appreciation Program. Ensono is an Equal Opportunity/Affirmative Action employer. We are committed to providing equal employment to our Associates and building a diverse and inclusive workforce. All qualified applicants will be considered without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or other legally protected basis, in accordance with applicable law. Pay transparency nondiscrimination statement/posting OFCCP’s pay transparency policy can be found on OFCCP’s website. If you need accommodation at any point during the application or interview process, please let your recruiter know or email USTalentAcquisition@ensono.com.

The Customer Intelligence Engineer builds scalable intelligence workflows that help Seeq’s Customer Success organization act earlier, smarter, and more strategically. This role sits within Customer Success and operates at the intersection of product usage analytics, customer health modeling, workflow automation, and applied AI. The mission is to transform raw customer data—usage, engagement, and contract signals—into actionable insights delivered to the right people at the right time. This is an early-career, high-potential role ideal for an engineering graduate or former process engineer pivoting into analytics and software.   Key Duties & Responsibilities: Build Customer Intelligence Workflows - Design and deploy account-level Slack summaries for CSMs and leadership. - Translate product usage and contract data into operational signals. - Build or extend data pipelines in partnership with Analytics Engineering. - Develop Python-based automation to operationalize insights at scale. Improve Health & Renewal Predictability - Contribute to Seeq’s customer health scoring framework. - Develop usage-to-renewal correlation models. - Identify leading indicators of risk, expansion, and adoption. - Iterate based on measurable predictive lift and CS feedback. Apply AI and Modern Tooling - Leverage AI-first coding workflows to accelerate development. - Build lightweight LLM-driven synthesis workflows where valuable. - Help elevate development practices across Customer Success. Partner Cross-Functionally - Work directly with CSMs to understand real decision workflows. - Collaborate with Analytics Engineers on modeling and data structure. - Feed product insights back into Engineering through internal dogfooding.

• Definir la estrategia de arquitectura y gobierno de datos de la organización. • Diseñar arquitecturas de datos empresariales y liderar su implementación. • Establecer estándares, lineamientos y mejores prácticas de arquitectura de datos. • Evaluar e incorporar nuevas tecnologías de datos. • Garantizar seguridad, calidad, capacidad, rendimiento y cumplimiento normativo. • Liderar iniciativas de Big Data, Data Warehousing, integración y calidad de datos. • Colaborar con líderes técnicos en la estrategia tecnológica corporativa. • Realizar análisis de impacto y definir evolución de la arquitectura de datos. • Impulsar innovación en datos, analítica, IA/ML y otras capacidades emergentes. • Liderar equipos y participar en reportes e iniciativas estratégicas.

Bounteous is a premier end-to-end digital transformation consultancy dedicated to partnering with ambitious brands to create digital solutions for today’s complex challenges and tomorrow’s opportunities. With uncompromising standards for technical and domain expertise, we deliver innovative and strategic solutions in Strategy, Analytics, Digital Engineering, Cloud, Data & AI, Experience Design, and Marketing. Our Co-Innovation methodology is a unique engagement model designed to align interests and accelerate value creation. Our clients worldwide benefit from the skills and expertise of over 4,000+ expert team members across the Americas, APAC, and EMEA. By partnering with leading technology providers, we craft transformative digital experiences that enhance customer engagement and drive business success. An RTCDP Solution Architect helps clients get value out of their investment into Customer Data Platforms like Adobe Real-Time CDP (RTCDP) by strategizing a scalable architecture with a strong focus on data governance and security. You will work with a multidisciplinary team of Consultants, Data Engineers, Data Scientists, and Digital Marketers. Information Security Responsibilities - Promote and enforce awareness of key information security practices, including acceptable use of information assets, malware protection, and password security protocols - Identify, assess, and report security risks, focusing on how these risks impact the confidentiality, integrity, and availability of information assets - Understand and evaluate how data is stored, processed, or transmitted, ensuring compliance with data privacy and protection standards (GDPR, CCPA, etc.) - Ensure data protection measures are integrated throughout the information lifecycle to safeguard sensitive information Role and Responsibilities - Serve as a platform expert in Adobe Experience Platform Real-Time CDP - Provide deep domain expertise in client business, technology stack, and data infrastructure, with a broad knowledge base in digital marketing - Assess and audit the current state of client’s marketing technology stack - Strategize, architect, and document a scalable RTCDP implementation, tailored to client business needs - Translate business requirements into technical specifications - Lead technical delivery; provide guidance to Data Engineers - Support the implementation of proper data governance Preferred Qualifications - 5+ years of experience architecting and building data pipelines - 3+ years of experience working in an agency environment; strong consulting, client-facing skills - Hands-on experience configuring Adobe Experience Platform RTCDP, including creating schemas, ingesting data from a variety of sources, configuring identity resolution, and connecting destinations for activation - Experience with Adobe Tags (formerly called “Launch”) and AEP WebSDK implementation - Experience working with APIs - Strong understanding of customer data platforms and the modern data infrastructure - Experience working with cloud technologies such as AWS, Google Cloud, Azure, etc. - Experience working with data warehouse solutions such as Amazon Redshift, Google BigQuery, Snowflake, etc. - Experience with Adobe Target a plus - Experience with data visualization tools such as Tableau, PowerBI, etc. a plus - Experience with marketing automation tools a plus - Degree in Computer Science, Data Science, Analytics, or related field or equivalent work experience preferred $118,000 - $159,000 a year Individual pay is determined by many factors, including experience, relevant education or training, and organizational needs. The mid-range to maximum of the salary range is generally reserved for individuals who are highly experienced in the role. We invite you to stay connected with us by subscribing to our monthly job openings alert here. Bounteous is proud to be an equal opportunity employer. Bounteous does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, physical or mental disability, national origin, veteran status, or any other status protected under federal, state, or local law. Bounteous is willing to sponsor eligible candidates for employment visas. #BI-Remote #LI-Remote