Sargent & Lundy is looking to lead the design, governance, and implementation of enterprise-grade Data, AI, and ML platforms to enable scalable, secure, and resilient infrastructure and data solutions that support advanced analytics, machine learning, and data science.
Requirements
- Minimum 7 years’ experience in data architecture and data platforms, preferably within large-scale enterprise environments.
- Extensive experience in data architecting, data mining, large-scale data modeling, and requirements analysis.
- Hands-on experience with one or more cloud data platforms (e.g., Databricks, Snowflake, Azure Synapse, Amazon Redshift).
- Strong expertise in data modeling, data integration (ETL/ELT/data pipelines), and associated technology stacks.
- Proven track record implementing enterprise data management processes, procedures, and decision support systems.
- Deep familiarity with metadata management and related processes.
- In-depth knowledge of enterprise repository, data modeling, mapping, and profiling tools.
Responsibilities
- Develop and deliver long-term strategic goals for data architecture vision and standards, collaborating closely with data users, department managers, clients, and other key stakeholders.
- Design short-term tactical solutions supporting long-term objectives and the overall data management roadmap.
- Establish robust processes for governing the identification, collection, and use of corporate metadata, ensuring accuracy and validity.
- Implement effective methods for tracking and improving data quality, completeness, redundancy, and integrity.
- Create and maintain strategies for data security, backup, disaster recovery, business continuity, and archiving.
- Partner with Data Architecture and Platform teams to implement next-generation data platforms (e.g., Data Fabric, Data Mesh, and Data Governance) that are scalable and secure.
- Define technical standards for data ingestion, transformation, enrichment, and consumption to support advanced analytics and machine learning.
Other
- This position, as part of the Enterprise Architecture Team, is central to enabling scalable, secure, and resilient infrastructure and data solutions that support advanced analytics, machine learning, and data science throughout Sargent & Lundy.
- You will drive innovation and ensure our systems align with evolving business needs and best industry practices.
- This position offers the flexibility of a hybrid schedule with the expectation of 3 days per week in our Chicago office, and 2 days remote from home.
- We do not sponsor employees for work authorization in the U.S. for this position.
- Excellent client/user interaction skills for detailed requirements gathering and solution delivery.
