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
Are you passionate about designing and building scalable data infrastructure that drives high-impact solutions?
We are seeking an experienced Senior Data Engineer with 8+ years of hands-on expertise in data engineering, with a focus on creating reliable, efficient, and scalable systems. This role is pivotal in shaping the data architecture and pipelines for a fast-paced, data-driven environment. If you thrive on solving complex problems and want to be at the forefront of modern data engineering practices, we want you on our team.
In this role, you will lead by example, combining technical leadership with hands-on development to drive the design and implementation of innovative data solutions. You'll collaborate with cross-functional teams to support diverse data needs, working in industries such as Oil & Gas, Titles & Leases, or Financial Services, where data precision and scalability are paramount.
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: 8+ years in data engineering with a focus on building scalable and reliable data infrastructure.
Skills:
- Language: Proficiency in Java or Python or Scala. Prior experience in Oil & Gas, Titles & Leases, or Financial Services is a must have.
- Databases: Expertise in relational and NoSQL databases like PostgreSQL, MongoDB, Redis, and Elasticsearch.
- Data Pipelines: Strong experience in designing and implementing ETL/ELT pipelines for large datasets.
- Tools: Hands-on experience with Databricks, Spark, and cloud platforms.
- Data Lakehouse: Expertise in data modeling, designing Data Lakehouses, and building data pipelines.
- Modern Data Stack: Familiarity with modern data stack and data governance practices.
- Data Orchestration: Proficient in data orchestration and workflow tools.
- Data Modeling: Proficient in modeling and building data architectures for high-throughput environments.
- Stream Processing: Extensive experience with stream processing technologies such as Apache Kafka.
- Distributed Systems: Strong understanding of distributed systems, scalability, and availability.
- DevOps: Familiarity with DevOps practices, continuous integration, and continuous deployment (CI/CD).
- Problem-Solving: Strong problem-solving skills with a focus on scalable data infrastructure.
Key Responsibilities:
- This is a role with high expectations of hands on design and development.
- Design and development of systems for ingestion, persistence, consumption, ETL/ELT, versioning for different data types e.g. relational, document, geospatial, graph, timeseries etc. in transactional and analytical patterns.
- Drive the development of applications related to data extraction, especially from formats like TIFF, PDF, and others, including OCR and data classification/categorization.
- Analyze and improve the efficiency, scalability, and reliability of our data infrastructure.
- Assist in the design and implementation of robust ETL/ELT pipelines for processing large volumes of data.
- Collaborate with cross-functional scrum teams to respond quickly and effectively to business needs.
- Work closely with data scientists and analysts to define data requirements and develop comprehensive data solutions.
- Implement data quality checks and monitoring to ensure data integrity and reliability across all systems.
- Develop and maintain data models, schemas, and documentation to support data-driven decision-making.
- Manage and scale data infrastructure on cloud platforms, leveraging cloud-native tools and services.
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.
Top Skills
What We Do
Stronghold Investment Management is an investment manager, focused on energy and natural resources, fortified by an experienced operating and technical team.
Stronghold pursues opportunistic investments, partnering with companies and entrepreneurs seeking capital as well as other investment managers. We identify investments with attractive risk-reward profiles and manage them through their life cycle.
