IT Solutions Engineer
Axelon
Summary:
- Duration: 4 Months
- Work Mode: 90% Remote
- Location: San Francisco, CA (Managers prefer local candidates)
- Manage complex technology or data-driven projects.
- Lead enterprise data platform implementations.
- Deliver projects involving Snowflake, Palantir Foundry, and Ataccama.
- Oversee data engineering and data management solutions.
- Manage cross-functional technical teams.
- Work within Agile and Waterfall delivery frameworks.
- Bachelor's degree in Computer Science, Information Systems, Engineering, Data Science, or a related field. Master's degree preferred.
- Minimum 8 years of experience managing complex technology or data-driven projects.
- Minimum 5 years of experience leading enterprise data platform implementations.
- Experience with Snowflake, Palantir Foundry, and Ataccama.
- Proficiency in cloud data platforms (AWS, Azure, or GCP).
- Expertise in data engineering, ETL/ELT development, data warehouse and lakehouse architectures.
- Knowledge of data pipeline orchestration, data integration frameworks, SQL, and data modeling concepts.
- Experience in data governance and quality, including Master Data Management, Data Quality Management, Metadata Management, and Data Governance Frameworks.
- Proficiency in project management tools like Jira, Azure DevOps, or similar.
- Skills in program planning, governance, budget, and resource management, as well as risk and dependency management.
- PMP, PgMP, Scrum Master, SAFe Agilist, or equivalent certification.
- Experience in enterprise utility, energy, healthcare, financial services, or large-scale regulated industries.
- Knowledge of data privacy and compliance frameworks.
- Experience with DevOps and DataOps practices.
- Familiarity with AI/ML enablement through enterprise data platforms.
Vacancy posted 1 day ago
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