Data Architecture and Platform Manager - Sargent & Lundy

Description:

Sargent & Lundy is a global leader in power and energy consulting, where innovation meets integrity, diversity, and a commitment to quality. Our distinctive capabilities provide domestic and international clients and partners with a thoroughly reliable source of comprehensive expertise. Sargent & Lundy offers challenge, flexibility, competitive salaries and benefits.

 

The ideal Data Architecture and Platform Manager candidate is a seasoned professional with deep expertise in enterprise data architecture and platform management. This individual will have a proven track record of transforming data into a strategic asset, leveraging it to drive business outcomes. They should bring extensive, hands-on experience in building data and analytics strategies from the ground up—creating robust data platforms and implementing high-quality, consumer-grade analytics and ML/AI solutions that directly enhance business performance. This is an exciting opportunity for a data visionary who wants to work at the intersection of technology, business strategy, and leadership to elevate the organization's competitive edge.

 

The primary responsibilities for this position include but are not limited to:

 

Strategy & Planning

• Develop and deliver long-term strategic goals for data architecture and data platform vision and standards in partnership with business users, functional groups, IT functional stakeholders, and other key stakeholders.
• Architect and implement a next-generation enterprise data lake (Data Fabric, Data Mesh etc.) platform that integrates diverse data sources and supports high-level analytics, business intelligence, and adoption of ML/AI to leapfrog value creation process across the organization.
• Create short-term tactical solutions to achieve long-term objectives and an overall data management roadmap.
• Conduct data capacity planning, life cycle, duration, usage requirements, feasibility studies, and other tasks.
• Create strategies and plans for data security, backup, disaster recovery, business continuity, and archiving.
• Ensure that data strategies and architectures are compliant with regulatory and client contractual requirements.

 

Acquisition & Deployment

• Enable ‘build/buy/augment’ strategies for enterprise data platform to deliver data and analytics solutions that are ‘future fit’ and deliver on ‘time to market’ expectations.
• Design, Develop and implement data acquisition (ETL) or in-place data pipeline methods to enhance and enrich data coverage to enable enterprise-wide data foundation made available for analytics.
• Establish and implement data integration standards for ‘at rest’ and ‘in transit’ to ensure both data platform and operational systems have the right data available at the right point of engagement.
• Establish processes for governing the identification, collection, and use of corporate metadata (Master Data Management); take steps to assure metadata accuracy and validity.
• Establish methods and procedures for tracking data quality, completeness, redundancy, and improvement.

 

Analytics and Operational Management

• Assess and determine governance, stewardship, and frameworks for managing data across the organization.
• Develop and implement architecture and governance framework for all current dashboard implementations and establish standards for future deployments.
• Develop and promote data management methodologies and standards.
• Select and implement the appropriate tools, software, applications, and systems to support data technology goals.
• Lead the mapping of data sources, data movement, interfaces, and analytics, with the goal of ensuring data quality and driving usage of insights across the enterprise.
• Collaborate with stakeholders across functional groups, business group leaders and project managers for all projects involving enterprise data.
• Address data-related problems related to systems integration, compatibility, and multiple-platform integration.
• Act as a leader and advocate of data management, including coaching, training, and career development to staff.
• Develop and implement key components as needed to create testing criteria to ensure the fidelity and performance of data architecture.
• Document the data architecture and platform environment to ensure a current and accurate view of the larger data picture is always maintained.
• Identify and develop opportunities for data reuse, migration, or retirement.

 

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.

Qualifications:

This position requires:

 

Education

• Bachelor’s/Advanced degree in computer science, information science, engineering or related field, or equivalent work experience

Knowledge and Experience

• 7+ years of experience in data architecture and data platforms, with a focus on large scale data platform solutions.
• Hands-on experience with data architecting, data mining, large-scale data modeling, and business requirements gathering/analysis.
• Direct experience in implementing enterprise data management processes, procedures, and decision support.
• Strong implementation experience with data modeling and data integration (ETL/ELT/Data pipeline) technology stack
• Strong familiarity with metadata management and associated processes.
• Hands-on knowledge of enterprise repository tools, data modeling tools, data mapping tools, and data profiling tools.
• Demonstrated expertise with repository creation, and data and information system life cycle methodologies.
• Ability to manage data and metadata migration.
• Hands-on experience with one or more cloud data platforms e.g. Databricks, Snowflake, Azure Synapse, Amazon Redshift.
• Excellent client/user interaction skills to determine requirements.
• Excellent problem-solving skills and the ability to thrive in a dynamic environment.
• Strong communication skills, with the ability to collaborate effectively with both technical and non-technical stakeholders.
• Experience with data processing flowcharting techniques.
• Proven project management experience.
• Good knowledge of applicable data privacy practices and laws.

We do not sponsor employees for work authorization in the U.S. for this position.

 

Sargent & Lundy is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any protected status as defined by law.

Award Winning Compensation & Benefits:

At Sargent & Lundy, we care about the health and well-being of our employees. Our commitment extends beyond the workplace, offering comprehensive healthcare plans and generous paid time off to support our team members in every aspect of their lives. We understand the importance of work-life balance, which is why we are proud to provide competitive, award-winning benefits. Our dedication to employee satisfaction has earned us the prestigious Top Workplaces Culture Excellence Award for compensation and benefits in 2022, 2023, and 2024.

 

Health & Wellness	Financial Benefits	Work-Life Balance
Health Plans: Medical, Dental, Vision Life & Accident Insurance Disability Coverage Employee Assistance Program (EAP) Back-Up Daycare FSA & HSA	401(k) Pre-Tax Commuter Account Merit Scholarship Program Employee Discount Program Corporate Charitable Giving Program Tuition Assistance First Professional Licensure Bonus Employee Referral Bonus	Paid Annual Personal/Sick Time (PST) Paid Vacation Paid Holidays Paid Parental Leave Paid Bereavement Leave Flexible Work Arrangements

Compensation Range:$161,000 - $183,000Awards & Recognition: