LendingTree, LLC
Enterprise Data Architect
LendingTree, LLC, Charlotte, North Carolina, United States, 28245
This position is based in the Charlotte, NC area with a hybrid work schedule of three days per week in office (Tues, Wed, Thurs). Candidates must be located in the Charlotte area or willing to relocate to be considered for this position.
At LendingTree, we believe that data is at the core of everything we do. We are a forward-thinking, innovative organization that leverages data to deliver insights and make informed decisions. We are looking for an experienced
Enterprise Data Architect
to join our team and help us build and scale our data infrastructure to support the growing needs of the business.
Job Summary:
As
Enterprise Data Architect , you will be an individual contributor who will help shape the overall data strategy and architecture, designing scalable, high-performance data systems that align with business objectives. You will play a crucial role in ensuring that our data architecture supports both operational, analytical & integration needs, fosters innovation, and adheres to best practices and compliance standards. The successful candidate will work closely with staff data leads, developers, analytics teams, and business stakeholders to ensure the data platform supports our needs effectively and efficiently.
Key Responsibilities:
Snowflake Platform:
Stay informed about the Snowflake product roadmap and bring innovative ideas back to tech leads.
Monitor and report on Snowflake credit usage, highlighting anomalies and working with teams to optimize compute cost.
Help us maintain a robust security and privacy posture, particularly concerning roles and PII data, including automatic detection and masking policies for sensitive data.
Facilitate the optimal deployment of Snowflake by working with data engineering teams to collaboratively set standards.
Liaise between Developer teams and Operations as needed.
Enhance business support by simplifying the onboarding process and providing ongoing training opportunities in Snowflake.
Data Integration:
Help design efficient data pipelines that ensure data is moved from raw formats to structured formats ready for consumption by analytics, reporting, integration and ML models.
Ensure data integration processes can handle real-time, batch, and event-driven data streams.
Optimize pipelines for scalability, performance, and reliability, ensuring they can handle the volume, velocity, and variety of data required by the organization.
Work with DataOps teams to automate and monitor the data pipelines to ensure minimal downtime and fast recovery.
Data Modeling & Data Platform Optimization:
Collaborate with data engineering teams and domain SMEs to design and implement unified data models that optimize storage and query performance across systems.
Optimize data architecture and pipelines for performance as data volumes and usage grow.
Monitor and identify bottlenecks in data infrastructure, implementing strategies such as indexing, partitioning, and other performance-enhancing techniques to ensure fast data retrieval.
Scale data systems and infrastructure to handle increasing workloads in terms of both volume and complexity.
Track and report on credit usage, address anomalies, and collaborate with teams to optimize compute and spend across data technologies.
Proactively identify and resolve performance bottlenecks, ensuring the scalability of data systems to support growing data volumes.
Qualifications:
Bachelor’s or master’s degree in computer science, Information Systems, or related field.
10+ years of data engineering experience, with at least 8 years of data architecture experience designing, building, and maintaining large-scale data infrastructure.
Expertise with Snowflake or similar cloud-based data warehouses, especially performance tuning, cost management and security best practices.
Strong Experience with message streaming technologies like Kafka, Azure Event Hub, AWS SQS/SNS.
Experience with ETL/ELT tools such as Matillion, SSIS, FiveTran and DBT.
Experience with NoSQL & multi-model databases like AWS Document DB, MongoDB, Cosmos DB etc.
Experience with relational database design, optimization, and administration in databases such as PostgreSQL, SQL Server.
Experience collaborating with software and data engineers to integrate data solutions into broader product and service offerings.
Solid understanding of cloud infrastructure (e.g., AWS, GCP, or Azure).
Proven ability to design and implement enterprise-level data solutions.
Excellent communication skills with the ability to collaborate across teams.
COMPANY
LendingTree is the nation’s largest online lending marketplace. That means we connect customers with multiple lenders so they find the best deals on loans, credit cards, savings accounts and insurance. Our goal is to help people save money, and we believe the best way to do that is by giving them a way to shop for loans and compare lenders so they make their best financial choices.
Our CEO Doug Lebda founded the company in 1996 after a frustrating house-hunting experience. In those days, we mostly helped people find good mortgage deals. Now, we help consumers find their best in personal loans, auto loans, business loans, student loans, credit cards, savings accounts, home equity loans and more.
What else you should know:
We’re a publicly traded company (TREE).
We’ve welcomed several other companies into the LendingTree family to augment our efforts at helping borrowers make their most sensible financial choices.
We’ve built the LendingTree app and My LendingTree dashboard to give consumers tools to manage and monitor their financial health.
CULTURE
We’re a fast-paced company with an entrepreneurial bent. We work hard and test our products often. We’re collaborative, ambitious, candid and high-energy. Our teammates are some of the brightest, most talented people you’ll ever work with. We care more about your smarts than we do about the kinds of clothes you wear and we’re pretty good at rewarding innovation, creativity and the knack for just getting stuff done (we even have an award for employees called the GSD, “Get Stuff Done”). Come work with us!
LendingTree is the kind of company that not only promotes diversity and inclusion, we thrive because of these values. 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.
#J-18808-Ljbffr
At LendingTree, we believe that data is at the core of everything we do. We are a forward-thinking, innovative organization that leverages data to deliver insights and make informed decisions. We are looking for an experienced
Enterprise Data Architect
to join our team and help us build and scale our data infrastructure to support the growing needs of the business.
Job Summary:
As
Enterprise Data Architect , you will be an individual contributor who will help shape the overall data strategy and architecture, designing scalable, high-performance data systems that align with business objectives. You will play a crucial role in ensuring that our data architecture supports both operational, analytical & integration needs, fosters innovation, and adheres to best practices and compliance standards. The successful candidate will work closely with staff data leads, developers, analytics teams, and business stakeholders to ensure the data platform supports our needs effectively and efficiently.
Key Responsibilities:
Snowflake Platform:
Stay informed about the Snowflake product roadmap and bring innovative ideas back to tech leads.
Monitor and report on Snowflake credit usage, highlighting anomalies and working with teams to optimize compute cost.
Help us maintain a robust security and privacy posture, particularly concerning roles and PII data, including automatic detection and masking policies for sensitive data.
Facilitate the optimal deployment of Snowflake by working with data engineering teams to collaboratively set standards.
Liaise between Developer teams and Operations as needed.
Enhance business support by simplifying the onboarding process and providing ongoing training opportunities in Snowflake.
Data Integration:
Help design efficient data pipelines that ensure data is moved from raw formats to structured formats ready for consumption by analytics, reporting, integration and ML models.
Ensure data integration processes can handle real-time, batch, and event-driven data streams.
Optimize pipelines for scalability, performance, and reliability, ensuring they can handle the volume, velocity, and variety of data required by the organization.
Work with DataOps teams to automate and monitor the data pipelines to ensure minimal downtime and fast recovery.
Data Modeling & Data Platform Optimization:
Collaborate with data engineering teams and domain SMEs to design and implement unified data models that optimize storage and query performance across systems.
Optimize data architecture and pipelines for performance as data volumes and usage grow.
Monitor and identify bottlenecks in data infrastructure, implementing strategies such as indexing, partitioning, and other performance-enhancing techniques to ensure fast data retrieval.
Scale data systems and infrastructure to handle increasing workloads in terms of both volume and complexity.
Track and report on credit usage, address anomalies, and collaborate with teams to optimize compute and spend across data technologies.
Proactively identify and resolve performance bottlenecks, ensuring the scalability of data systems to support growing data volumes.
Qualifications:
Bachelor’s or master’s degree in computer science, Information Systems, or related field.
10+ years of data engineering experience, with at least 8 years of data architecture experience designing, building, and maintaining large-scale data infrastructure.
Expertise with Snowflake or similar cloud-based data warehouses, especially performance tuning, cost management and security best practices.
Strong Experience with message streaming technologies like Kafka, Azure Event Hub, AWS SQS/SNS.
Experience with ETL/ELT tools such as Matillion, SSIS, FiveTran and DBT.
Experience with NoSQL & multi-model databases like AWS Document DB, MongoDB, Cosmos DB etc.
Experience with relational database design, optimization, and administration in databases such as PostgreSQL, SQL Server.
Experience collaborating with software and data engineers to integrate data solutions into broader product and service offerings.
Solid understanding of cloud infrastructure (e.g., AWS, GCP, or Azure).
Proven ability to design and implement enterprise-level data solutions.
Excellent communication skills with the ability to collaborate across teams.
COMPANY
LendingTree is the nation’s largest online lending marketplace. That means we connect customers with multiple lenders so they find the best deals on loans, credit cards, savings accounts and insurance. Our goal is to help people save money, and we believe the best way to do that is by giving them a way to shop for loans and compare lenders so they make their best financial choices.
Our CEO Doug Lebda founded the company in 1996 after a frustrating house-hunting experience. In those days, we mostly helped people find good mortgage deals. Now, we help consumers find their best in personal loans, auto loans, business loans, student loans, credit cards, savings accounts, home equity loans and more.
What else you should know:
We’re a publicly traded company (TREE).
We’ve welcomed several other companies into the LendingTree family to augment our efforts at helping borrowers make their most sensible financial choices.
We’ve built the LendingTree app and My LendingTree dashboard to give consumers tools to manage and monitor their financial health.
CULTURE
We’re a fast-paced company with an entrepreneurial bent. We work hard and test our products often. We’re collaborative, ambitious, candid and high-energy. Our teammates are some of the brightest, most talented people you’ll ever work with. We care more about your smarts than we do about the kinds of clothes you wear and we’re pretty good at rewarding innovation, creativity and the knack for just getting stuff done (we even have an award for employees called the GSD, “Get Stuff Done”). Come work with us!
LendingTree is the kind of company that not only promotes diversity and inclusion, we thrive because of these values. 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.
#J-18808-Ljbffr