Strategy & Consulting | Data Engineering Consulting Practitioner - Process Mining

In Accenture, within the Strategy & Consulting – General Network area, we work with leading global clients to design and implement strategies that drive transformation and sustainable growth. As part of our team, you will collaborate on projects that combine innovation, deep analysis, and strategic execution, helping organizations tackle their most complex challenges. As a part of our Supply Chain & Engineering practice, you will help organizations reimagine and transform their supply chains for tomorrow—with a positive impact on the business, society and the planet. Together, let’s innovate, build competitive advantage, and improve business, and societal outcomes, in an ever-changing, ever-challenging world. Help us make supply chains work better, faster, and be more resilient, with the following initiatives:

- Be the process architect to lead process discovery and whiteboarding sessions with senior business stakeholders.
- Deliver process discovery or improvement projects using process mining tools.
- Work on process mining market leaders like Celonis, Signavio , Power automate Process Mining, and so on.
- Develop business requirements for the implementation of technology solutions for the client.
- Demonstrate in-depth knowledge of industry trends , SAP transformation journey , new technologies, and tools.
- Aid in asset, accelerator, use case creation and enhancement
- Contribute to business development initiatives and display ability to solve complex business problems

In Accenture, within the Strategy & Consulting – Global Network area, we work with leading global clients to design and implement strategies that drive transformation and sustainable growth. As part of our team, you will collaborate on projects that combine innovation, deep analysis, and strategic execution, helping organizations tackle their most complex challenges. As a part of our Supply Chain & Engineering practice, you will help organizations reimagine and transform their supply chains for tomorrow—with a positive impact on the business, society and the planet. Together, let’s innovate, build competitive advantage, and improve business, and societal outcomes, in an ever-changing, ever-challenging world. Help us make supply chains work better, faster, and be more resilient, with the following initiatives:

- Be the process architect to lead process discovery and whiteboarding sessions with senior business stakeholders.
- Deliver process discovery or improvement projects using process mining tools.
- Work on process mining market leaders like Celonis, Signavio , Power automate Process Mining, and so on.
- Develop business requirements for the implementation of technology solutions for the client.
- Demonstrate in-depth knowledge of industry trends , SAP transformation journey , new technologies, and tools.
- Aid in asset, accelerator, use case creation and enhancement
- Contribute to business development initiatives and display ability to solve complex business problems.

Bring your best skills forward to excel in the role:

- Strong analytical skills to reach clear-cut, methodical solutions
- Ability to solve complex business problems and deliver client delight
- Excellent communication, interpersonal and presentation skills
- Cross-cultural competence with an ability to thrive in a dynamic environment
- Ability to lead technical team in all type of conditions.

A unique workplace — discover the benefits we have for you:

- PedidosYa
- ️ Swiss Medical health insurance for you and your immediate family
- Internet reimbursement
- 100% covered gym membership
- Flexible vacations
- Flexible working hours
- Sponsored certifications
- Day off on your birthday
- Performance bonuses
- Accenture Days
- Flexible benefits package
- Extended maternity and paternity leave
- Childcare financial assistance

…and many more ! We have offices available in CABA, Córdoba, Mar del Plata, Rosario, Salta, and Mendoza! And if you’re located in other provinces, our positions are remote, so you can work from home! Your experience counts!

- Bachelor’s degree in computer science, Data Science, or a related field.
- 5+ years of experience in data engineering or a related field.
- Experience with data modelling, data transformation, and data analysis.
- Experience with SQL, MYSQL etc is critical and will be required while creating data models.
- Knowledge of data collection approach, data cleansing, data modelling, process discovery, process analysis and insights. Experience on python is an added benefit.
- Strong experience with process mining tools such as Celonis, Signavio, and Power automate Process Mining.
- Certified expertise as data analyst for process discovery and mining tools like Celonis, Signavio, Power automate process mining etc
- Good understanding/experience of process mining in SAP transformations or if you have supported mining/process design/journey definition initiatives in SAP projects.
- Strong communication skills, especially around breaking down complex structures into digestible and relevant points for a diverse set of clients and colleagues, at all levels.

What’s in it for you?

- An opportunity to work on transformative projects with key G2000 clients
- Potential to co-create with leaders in strategy, industry experts, enterprise function practitioners and, business intelligence professionals to shape and recommend innovative solutions that leverage emerging technologies.
- Ability to embed responsible business into everything—from how you service your clients to how you operate as a responsible professional.
- Personalized training modules to develop your strategy & consulting to grow your skills,



industry knowledge and capabilities
- Opportunity to thrive in a culture that is committed to accelerate equality for all. Engage in boundaryless collaboration across the entire organization.

AT ACCENTURE, EQUALITY DRIVES INNOVATION Did you know that Accenture was chosen as the most diverse and inclusive company in the world? We believe that the workforce of the future is an equal workforce for everyone. All decisions related to the recruitment and selection process will be made without any distinction, exclusion, or preference based on race, color, gender, sexual orientation, disability, age, religion, political or union opinion, nationality, socioeconomic background, or any other characteristic protected under applicable law, that could result in the nullification or impairment of equal opportunity or treatment among candidates. #LI-LATAM About Accenture Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities. Visit us at ( Declaración de igualdad de oportunidades en el empleo Creemos que nadie debe ser discriminado por sus diferencias. Todas las decisiones de empleo se tomarán sin importar la edad, raza, credo, color, religión, sexo, origen nacional, ascendencia, discapacidad, condición de veterano militar, orientación sexual, identidad o expresión de género, información genética, estado civil, ciudadanía ni ningún otro criterio protegido por la legislación aplicable. Nuestra rica diversidad nos hace más innovadores, competitivos y creativos, lo que nos permite servir mejor a nuestros clientes y comunidades.

AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.

WHY JOIN US

If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!

ABOUT THE ROLE

We are looking for a Senior Data Engineer to operate and improve a Snowflake-based enterprise data platform in a regulated healthcare environment.

MUST HAVES

- 5+ years of professional experience in Data Engineering or Data Platform Engineering.

- Strong hands-on experience operating and developing solutions on Snowflake , including data-layer design, warehouse performance, access patterns, and production troubleshooting.

- Advanced SQL skills and strong experience with dbt for transformation, testing, documentation, lineage, and controlled deployment.

- Experience operating managed ingestion tools such as Fivetran or HVR and supporting custom data-ingestion pipelines.

- Hands-on experience with AWS data services , particularly S3 and event-driven or file-based ingestion patterns.

- Experience orchestrating and troubleshooting data workloads with Argo Workflows on Kubernetes , or comparable workflow-orchestration technologies.

- Proficiency in Python or a comparable language for data engineering, automation, and operational tooling.

- Strong understanding of data modeling, pipeline dependencies, schema evolution, backfills, data validation, and production data quality.

- Experience with observability, logging, alerting, and incident-management practices for production data platforms.

- Demonstrated ability to lead complex incident resolution, perform root-cause analysis, and convert findings into preventive improvements.

- Ability to make well-reasoned technical decisions, identify tradeoffs, estimate work, and guide improvements across a complex platform.

- Experience mentoring engineers and collaborating effectively with Cloud / DevOps, Analytics, Security, Governance, and business stakeholders.

- Strong written and verbal English communication skills, with the ability to work directly with client stakeholders.

- Full availability to work from 9:00 AM to 6:00 PM Pacific Time and participate in an agreed on-call rotation.

NICE TO HAVES

- Hands-on experience with a data-specific observability platform.

- Experience supporting Tableau Cloud administration, data-source connectivity, extracts, scheduled refreshes, or production dashboard dependencies.

- Familiarity with Snowflake cost optimization,



audit logging, tasks, stored procedures, and environment rationalization.

- Experience migrating legacy ingestion or orchestration patterns such as Boomi or AWS Data Pipeline to modern managed or Kubernetes-based solutions.

- Experience with Terraform, CI/CD pipelines, and Infrastructure as Code practices supporting data platforms.

- Experience with service-management and change-control tools such as Freshservice and Jira.

- Familiarity with HIPAA, GDPR, FDA-related controls, least-privilege access, separation of duties, and audit-ready operational practices.

WHAT YOU WILL DO

- Provide senior technical ownership for the Data Platform service tower during the LatAm coverage window, including day-to-day operations, complex troubleshooting, and L2/L3 escalation.

- Operate and improve Snowflake production and non-production environments, including warehouse configuration and sizing, performance and consumption monitoring, object lifecycle, environment hygiene, and support for production changes.

- Administer data access within established controls, including users, roles, service accounts, secrets, and credential rotation, while maintaining least-privilege and audit-ready practices.

- Operate and improve data ingestion across Fivetran, HVR where applicable, and custom pipelines, including connector configuration, scheduling, source onboarding, schema-change coordination, failure recovery, backfills, and dependency management.

- Design, build, and maintain reliable pipelines and dbt models across RAW, CURATED, and CONSUMPTION layers, with appropriate testing, documentation, lineage, version control, and CI/CD practices.

- Support AWS S3 data-lake operations, including raw and landing-zone workflows, lifecycle and retention controls, access patterns, logging, ingestion failures, and coordination with downstream Snowflake workloads.

- Support Argo Workflows and Kubernetes-hosted data workloads in close coordination with the Cloud / DevOps team, including scheduling, troubleshooting, deployment, recovery, and capacity dependencies.

- Define and improve data quality and observability standards, including freshness, zero-row, row-count growth, null, duplicate, schema-drift, and referential-integrity checks.

- Expand end-to-end monitoring and lineage using tools such as SYNQ, dbt, Snowflake audit data, Splunk, and the agreed alerting stack, linking actionable alerts to evidence and runbooks.

- Lead or support major data incidents, root-cause analysis, post-incident reviews, and preventive actions across ingestion, orchestration, Snowflake, and downstream Tableau dependencies.

- Support Tableau Cloud operations where upstream data, connectivity, permissions, extracts, or refresh failures require Data Platform investigation.

- Identify and deliver standardization, automation, reliability, performance, and cost improvements, including migration of suitable legacy or custom extraction patterns toward agreed golden paths.

- Execute work through controlled incident, request, access, change, and release processes using established service-management workflows.

- Create and maintain runbooks, operating procedures, architecture context, ownership information, recovery procedures, and knowledge-transfer materials.

- Mentor Middle-level engineers, review technical work, improve team practices, and ensure effective handoffs across the distributed service team.

- Participate in the Data Platform on-call rotation for critical incidents outside staffed service hours.

PERKS AND BENEFITS

- Professional growth : Mentorship, TechTalks, and personalized growth roadmaps.

- Competitive compensation : USD-based pay with education, fitness, and team activity budgets.

- Exciting projects : Modern solutions with Fortune 500 and top product companies.

- Flextime : Flexible schedule with remote and office options.

Requirements
5+ years of professional experience in Data Engineering or Data Platform Engineering Strong hands-on experience operating and developing solutions on Snowflake, including data-layer design, warehouse performance, access patterns, and production troubleshooting. Advanced SQL skills and strong experience with dbt for transformation, testing, documentation, lineage, and controlled deployment. Experience operating managed ingestion tools such as Fivetran or HVR and supporting custom data-ingestion pipelines. Hands-on experience with AWS data services, particularly S3 and event-driven or file-based ingestion patterns. Experience orchestrating and troubleshooting data workloads with Argo Workflows on Kubernetes, or comparable workflow-orchestration technologies. Proficiency in Python or a comparable language for data engineering, automation, and operational tooling. Strong understanding of data modeling, pipeline dependencies, schema evolution, backfills, data validation, and production data quality. Experience with observability, logging, alerting, and incident-management practices for production data platforms. Demonstrated ability to lead complex incident resolution, perform root-cause analysis, and convert findings into preventive improvements. Ability to make well-reasoned technical decisions, identify tradeoffs, estimate work, and guide improvements across a complex platform. Experience mentoring engineers and collaborating effectively with Cloud / DevOps, Analytics, Security, Governance, and business stakeholders. Strong written and verbal English communication skills, with the ability to work directly with client stakeholders. Availability to work from 9:00 AM to 6:00 PM Pacific Time and participate in an agreed on-call rotation.

- Welcome kit.
- Healthy Break.
- Welcome kit.
- Healthy Break.

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