Principal Data Engineer designing and developing innovative data analytical solutions for the gaming industry. Leading and mentoring while engaging with clients to fulfill their data engineering needs.
About the role
- Leading development teams for Data Warehouse and Application Integration solutions in a hybrid work environment. Engaging with business stakeholders and ensuring quality delivery for enterprise data solutions.
Responsibilities
- Lead and manage developers and technical teams working on Data Warehousing solutions like Snowflake data platforms, MuleSoft integrations using API development & support, and data integration management related to other enterprise applications.
- Oversee end-to-end delivery across multiple workstreams, ensuring timelines, scope, quality, and dependencies are effectively managed.
- Provide guidance to teams, ensuring best practices in design, development, integration, and deployment.
- Support capacity planning, sprint planning, and prioritization of work across platforms.
- Act as a point of contact for business stakeholders for Snowflake, MuleSoft, and Salesforce-related initiatives.
- Engage with business teams to understand requirements, challenges, and strategic objectives.
- Translate business requirements into clear functional and technical requirements, ensuring alignment across data, integration, and application layers.
- Ensure requirements are clearly documented, reviewed, and understood by delivery teams and implementation partners.
- Develop and maintain a strong understanding of the end-to-end IT architecture at EXA, including data, integration, application, and upstream/downstream systems.
- Ensure solutions align with enterprise architecture standards, security, data governance, and integration patterns.
- Collaborate with architects and senior IT stakeholders to design solutions.
- Identify opportunities to simplify, standardize, and optimize the existing integration and data landscape.
Requirements
- Strong experience in IT delivery, with a strong focus on data platforms, system integrations, and business-critical applications.
- Strong ability to engage with business stakeholders, understand complex business requirements, and translate them into clear delivery plans and technical direction.
- Solid understanding of Snowflake-based data solutions, including data flows, analytics use cases, and enterprise data architecture (hands-on experience preferred but not mandatory).
- Good working knowledge of Salesforce capabilities and integration approaches, enabling effective coordination between Salesforce, data, and integration teams.
- Strong delivery management skills, including planning, prioritization, risk management, and dependency management across multiple workstreams.
- Experience working in Agile / Scrum delivery models, collaborating closely with product owners, architects, and engineering leads.
- Ability to work closely with senior IT leadership to manage resources, align priorities, and drive execution across teams.
Benefits
- Flexible working arrangements
- Professional development opportunities
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Location requirements
Specialist, Data Engineering at CoverMyMeds enhancing and expanding data platforms for commercial data products. Collaborating with multiple teams to design scalable data solutions from various sources.
Team Lead in Data Engineering at Avanquest mentoring data engineering team and ensuring efficient data management across platforms. Collaborating with departments to align solutions and optimize workflows.
Data Architect at RSM leading AI - driven data migration initiatives within Salesforce ecosystem. Implementing data governance and optimizing performance across complex datasets.
Senior Data Engineer at Capgemini designing and optimizing scalable data architectures on Databricks and GCP. Collaborating across teams to transform business needs into reliable technical solutions.
Data Engineer transforming legacy on - premises systems to cloud - native architectures for advanced data analytics. Collaborating with teams to build efficient data solutions using Python and AWS.
Data Engineering Academy focused on Snowflake and Databricks for professionals interested in expanding their technical capabilities. Fully remote with future office work in Monterrey or Saltillo after completion.
Senior Data Engineer at Intent HQ designing and scaling data platforms. Building high - impact intelligence from millions of customer insights with a focus on performance and reliability.
SAP Data Engineer supporting MERKUR GROUP's evolution into a data - driven company. Responsible for data integration, modeling, and collaboration with various departments in Group Finance.
Data Engineer at Booz Allen Hamilton organizing data and developing advanced technology solutions. Leading data engineering activities for mission - driven projects and mentoring multidisciplinary teams.