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Senior Data Engineer – Data Architecture & Platform
CPI Security, a national leader in residential and commercial security solutions, is seeking a Senior Data Engineer transitioning into Data Architecture to join us on our data transformational journey. This unique role combines hands-on data engineering (70%) with architectural design and governance (30%), ideal for a technical expert ready to shape our enterprise data strategy while remaining deeply involved in implementation. You'll work directly with line of business leaders and technical users to architect and build our cloud data warehouse using data vault 2.0 modeling and dbt. This is a technical, hands-on role, not a pure architecture position, where you'll mentor junior engineers on a lean team while personally implementing the solutions you design.
This is an on-site position at our HQ in Charlotte, NC.
What You'll Do
This role balances architectural design with hands-on implementation. You'll spend approximately 70% of your time coding, building pipelines, and implementing solutions, while dedicating 30% to architectural design, standards definition, and technical guidance. On our lean team, everyone contributes technically, this isn't about drawing boxes, it's about designing it AND building it. You must be comfortable in the IDE daily, working alongside engineers and providing mentorship through code reviews, pair programming, and technical guidance.
Define and document reference architectures, design patterns, and standards for the enterprise data platform. Create technical design documentation, data flow diagrams, and architectural decision records (ADRs) while remaining actively involved in hands-on implementation. Establish data modeling standards, naming conventions, and best practices across the platform.
Establish and maintain data modeling standards, design patterns, and architectural guidelines. Review and approve technical designs to ensure alignment with architectural principles and enterprise standards. Collaborate with stakeholders to define data governance policies and ensure compliance with security requirements.
Provide architectural guidance and hands-on mentorship to engineers through code reviews, pair programming, and technical design sessions. Share expertise in data vault modeling, dbt development, and cloud data engineering best practices. Foster a culture of technical excellence and continuous learning within the team. Work collaboratively on our small team where everyone contributes to solving complex technical challenges.
Design and implement data vault 2.0 modeling patterns to build a scalable, audit-friendly enterprise data platform that supports business agility and data governance.
Build and maintain automated data pipelines using dbt (Cloud/Core), Python, and Snowflake to transform raw data into business-ready datasets with comprehensive data quality testing.
Architect and implement an enterprise data platform on Snowflake, including automated deployment pipelines, data quality frameworks, and monitoring solutions. While we are modernizing to a cloud data platform, on-premises work is still needed using SSIS and MSSQL Server during the migration phase.
Design and build data marts using dimensional modeling techniques (Kimball methodology) to support business intelligence and analytics requirements.
Design and implement robust data transformation models using dbt, SQL, and Python to build scalable ingestion and processing pipelines.
Implement comprehensive data quality testing frameworks using dbt tests, custom Python validations, and automated monitoring to ensure data accuracy and reliability.
Integrate and operationalize data from external systems such as CRM, ERP, and third-party platforms via secure cloud data sharing, CDC, and APIs.
Play an integral role in planning, designing, and implementing data migration strategies from legacy on-premises SQL Server systems to our modern Snowflake cloud platform.
What We're Looking For
Technical Skills
Preferred Qualifications
Soft Skills
Education
What Sets You Apart
Why Join CPI Security
CPI Security is an equal opportunity employer committed to diversity and inclusion in the workplace.
Ready to apply?
Apply to CPI Security
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Employee Applicant Privacy Notice
Who we are:
Shape a brighter financial future with us.
Together with our members, we’re changing the way people think about and interact with personal finance.
We’re a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront. We’re proud to come to work every day knowing that what we do has a direct impact on people’s lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world.
The role
The Borrow Data Science team is seeking a Senior Staff Data Scientist who will help support growth in our Home Loans business by improving SoFi’s ability to execute with data. This is an exciting role for someone to leverage their analytical skills to create robust reporting, identify growth opportunities and insights, and build ML models using Snowflake, Airflow, dbt, and Sagemaker.
As a Senior Staff Data Scientist, you will serve as a data leader, balancing urgent requests, and delivering high quality projects to key stakeholders, through a clear and repeatable data informed approach. You will be a technical leader, helping the team build reliable, efficient, and scalable data foundations. You will create a culture of strong technical ownership, documenting your approach and ideas to socialize, resulting in strategies that have a wide impact within the organization. You will perform analytical deep-dives to proactively identify most impactful opportunities, and inform future experimentation design and product roadmaps.
In this role, you'll use your expertise in data analysis, statistical modeling, and machine learning to uncover insights that will directly influence product strategy and revenue growth. This role demands a strong technical foundation (SQL, Python/R, Tableau, Statistics), a deep understanding of business metrics, A/B testing, causal inference analysis, and exceptional collaboration skills.
Additionally, you are expected to work cross-functionally, including: engineering, product managers, lifecycle marketing, data science, design, operations, finance, risk, legal, compliance, and executive teams to set business objectives, define product strategy, prioritize features, and execute on them.
What you’ll do:
Identify high impact business opportunities to help members achieve their financial goals
Mentor and guide data scientists in the team by promoting best practices, strong technical decisions, coding standards, and thorough documentation.
Develop and apply machine learning models to solve business problems
Evaluate and interpret the results of data analysis
Build strong relationships with stakeholders and present insights on a regular cadence communicating findings to both technical and non-technical stakeholders.
Design and implement data collection. Build data pipelines to deploy production level datasets.
Collaborate with cross-functional teams and business leaders to understand needs and offer data-driven solutions
Act as a technical leader by mentoring and supporting the growth of less experienced team members.
What you’ll need:
Masters’ or above in quantitative areas: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field
10+ years of relevant experience leveraging data-driven analysis to influence key decisions, preferably in a Tech or Finance company
Proven track record of being able to work independently, and proactively engaging with business stakeholders with minimal direction and drive measurable business impact.
Experience with using Airflow and DBT to build Data Pipelines in Snowflake
Strong programming skills in SQL and Python
Experience with building data visualizations with Tableau, Looker or other BI tools
Knowledge of varied ML algorithms, applicability to different business problems, and experience in deploying ML models at scale in production with monitoring metrics.
Ability to work in a dynamic, cross-functional environment, with a strong attention to detail;
Effective communication and presentation skills and ability to explain complex analyses in simple terms to business leaders;
Strong relationship building and collaborative skills;
Exceptional problem-solving
Ready to apply?
Apply to SoFi
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PLEASE NOTE: This position ideally works a hybrid schedule in Charlotte, NC. (Tuesday-Thursday in-office). Strong preference for candidates who are in Charlotte, NC, or willing to relocate.
About the Role
LendingTree is seeking a SQL Operations Engineer to join our Platform Operations team. You will automate, scale, and support our cloud-based data ecosystem (Snowflake, AWS/Azure). This is a hands-on role focused on eliminating operational toil through CI/CD, robust monitoring, and automation-first engineering.
Key Responsibilities
Required Qualifications
Preferred Qualifications
What Success Looks Like
You are an automation-first engineer who thrives on ownership. You don't just "fix" problems—you build systems that prevent them. You are a clear communicator who balances technical excellence with a focus on security and reliability.
ABOUT LENDINGTREE
LendingTree is the nation’s leading online lending marketplace. We connect consumers with multiple lenders so they can easily compare options and find the right fit — from mortgages and personal loans to credit, savings, and insurance products.
Our founder, Doug Lebda, started LendingTree in 1996 after his own frustrating house-hunting experience. What began as a simple idea to make loan shopping easier has grown into a platform that empowers millions of people to make smarter financial decisions every day.
What else you should know:
OUR CULTURE
We’re a collaborative, entrepreneurial team that values curiosity, creativity, and getting things done together. Our teammates are some of the brightest, most driven people you’ll meet — and we celebrate innovation, inclusion, and ownership. At LendingTree, you’ll find an inclusive culture where diverse perspectives make us stronger. We believe in working hard and supporting one another — with the flexibility and trust that help you thrive both personally and professionally.
We’re proud to offer generous benefits, wellness programs, and time-off policies designed to help you recharge, stay healthy, and bring your best self to work every day. And yes — we still have fun doing it (our “GSD – Get Stuff Done” award is a fan favorite!)
Come grow with us, make an impact, and be part of a company that truly cares about its people and its community.
LendingTree is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion (or creed), gender, gender expression, age, national origin, disability, marital status, sexual orientation, or military status.
Ready to apply?
Apply to LendingTree
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