Data Engineering Manager

Stronghold Investment Management (“Stronghold,” “SIM,” or “the Firm”) is a technology-driven, vertically integrated investment manager focused on real-assets and related private markets. Stronghold seeks to deliver best-in-class risk-adjusted returns through an investment framework that features comparatively rapid transaction velocity, deep technical expertise, creative financial structuring, and objective and algorithmic decision making.

Stronghold was founded by Ryan Turner in 2016 and has deployed over $1.6 billion in capital across 10+ investment vehicles. 

Ultimately, Stronghold intends to apply its technology-intensive investment approach to a variety of specialist real assets verticals, including:

• Oil & Gas
• Renewables
• Specialty Real Estate (commercial, datacenters, marinas)
• Telecommunications and Technology Infrastructure
• Billboards and Fixtures
• Mining & other commodities
• Utilities
• Secondaries

Join Our Team as a Data Engineer Manager

Are you passionate about driving impactful data solutions in dynamic industries like Oil & Gas, Financial Services, and Titles & Leases? We're seeking an experienced Data Engineering leader who thrives in crafting enterprise-level data strategies and managing modern, scalable data infrastructure. If you have a strong background in data engineering, expertise in cloud platforms, and a desire to work on cutting-edge AI/ML projects, this is the opportunity for you to shape the future of data at an innovative organization.

What You Bring:

• Education: A Bachelor's degree in Computer Science, Engineering (B.Tech, BE), or a related field such as MCA (Master of Computer Applications) is required for this role.
• Experience: 12+ years in data engineering, including 5+ years in leading data teams. Prior experience in Oil & Gas, Titles & Leases, or Financial Services is a must have.
• Technical Skills: Proficiency in Java, Python, or Scala with expertise in ETL/ELT processes, Databricks, Spark, and cloud platforms. AI/ML expertise especially in NLP and recent experience with Gen AI is highly desirable
• Data Modeling: Strong skills in data modeling, designing Data Lakehouses, and building scalable data pipelines.
• Modern Data Stack: Experience with modern data stack, data orchestration, and workflow tools.
• Geospatial Data: Experience in processing, storing, and analyzing geospatial datasets, including vector and raster data formats. Proficiency in geospatial tools such as PostGIS, GDAL, GeoPandas, and spatial databases. Ability to integrate geospatial data into enterprise data pipelines and leverage spatial analytics for decision-making in industries like Oil & Gas and Titles & Leases.
• Data Governance: Expertise in data governance, data quality, and data security practices.
• Databases: Proficiency in relational and NoSQL databases like PostgreSQL, MongoDB, Redis, and Elasticsearch.
• Message Queues: Experience with message queues like Kafka and stream processing.
• SQL & Cloud Platforms: Strong expertise in SQL and experience with cloud data platforms such as Snowflake, Databricks, and BigQuery.
• Problem-Solving: Strong problem-solving skills with a focus on building scalable and reliable data infrastructure.
• Enterprise Data Management: Experience in delivering advanced data & analytics products and managing enterprise-level production data platforms.
• Data Visualization: Experience with data visualization and BI tools.PowerBI expertise highly desirable

Your Responsibilities:

• Establish Enterprise data strategy for ingestion, persistence, consumption, ETL/ELT, versioning for different data types e.g. relational, document, geospatial, graph, time series etc. in transactional and analytical patterns.
• Lead design and development of applications for data extraction, OCR, and data classification/categorization from various document formats (TIFF, PDF, etc.).
• Analyze and improve the efficiency, scalability, and reliability of our data infrastructure.
• Collaborate closely with Senior AI/ML Engineers to ensure seamless integration of data engineering and AI/ML models.
• Manage and scale data infrastructure on cloud platforms, leveraging cloud-native tools and services.
• Optimize the cost of data stores through an appropriate persistence, archival and retrieval, and purging strategies.
• Facilitate effective communication across teams, ensuring alignment and timely resolution of issues.
• Continuously evaluate and integrate new tools and technologies to keep our data solutions modern and efficient.
• Implement best practices in data management and engineering to continuously improve our processes.

Why join Stronghold’s Dallas Team?

At Stronghold, you're not just another employee; you are a part of our global family. We believe in nurturing talent, fostering innovation, and celebrating successes together. With our state-of-the-art technology and a team of industry experts, we offer a platform for growth, development, and unparalleled learning.

Benefits:

• Salary: Competitive and aligned with local standards.
• Performance Bonus: According to company policy.
• Benefits: Includes medical insurance and group term life insurance.
• Continuous learning and development.10 recognized public holidays.
• Parental Leave

Stronghold Investment Management is an equal opportunity employer. We believe in creating a diverse and inclusive workforce, where individuals of all backgrounds, experiences, and perspectives can thrive. We are committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by applicable laws. We encourage applicants from underrepresented groups to apply and embrace the unique contributions they can bring to our organization.