Data Warehouse Developer - Senior (6-10 yrs.) / Data Engineer
Apply NowCompany: Mindlance
Location: Austin, TX 78745
Description:
Hybrid Work Model - M, W, Th on site.
Your opportunity At client, youre empowered to make an impact on your career. Here, innovative thought meets creative problem solving, helping us challenge the status quo and transform the finance industry together. We are seeking a season technology-focused senior engineer for our data cataloging and ingestion platform development, adoption, and maintenance. This is a great opportunity to play a pivotal role in driving the technical leadership and delivery of our enterprise data warehouse and analytics platforms. Specifically, you will oversee development and integration of data cataloging capabilities with cloud-based data assets ensuring our cloud data ecosystem is optimized, scalable and secure. This is an individual contributor role, ideal for a data engineer with cloud experience who thrives in a hands-on technical environment. You will collaborate with cross-functional teams to integrate data cataloging capabilities across our data ecosystem.
What you have
Technical Oversight: Provide technical leadership for development and operation of the data ingestion platform on Cloud, ensuring best practices in data movement and cataloging. Tooling Management: Lead the design, provisioning, integration, and maintenance of data catalog tooling with the data ingestion platform. Collaboration & Stakeholder Engagement: Partner with data application owners, developers on onboarding and operations within the data ingestion framework to deliver a unified and consistent data ecosystem. Consult on best practices, data security and protection, consumption, and transformation. Planning: Collaborate across the enterprise on plans for onboarding new and existing data assets in the data ingestion platform Automation: Utilize strong scripting skills to develop automation processes that will accelerate onboarding, provisioning, and data activation. Infrastructure Management: Provide ongoing requirements to cloud platform engineers to support data cataloging and ingestion. Participate in collaborative proofs-of-concept, product evaluations, and data tenant testing. Platform and Framework Support: Provide ongoing maintenance and support for tenant ingestion workloads, ensuring availability and robustness. Troubleshoot issues and provide resolution, communicating updates and status with relevant stakeholders. Supervision & Mentorship: Provide guidance and technical oversight to junior engineers and vendor contractors, ensuring high-quality execution and fostering professional growth within the team.
Required qualifications: Bachelors degree in Computer science, Engineering, or a related field. 7+ years of experience in software engineering, with a minimum of 4+ years of experience focused on data engineering within Cloud platforms Deep experience in implementation and rollout of data catalog tooling, capabilities (CDGC, Dataplex, Collibra, Atlan, etc) Experienced with Google like BigQuery (databases), Cloud Composer & Run(orchestration), BigQuery (databases), Cloud Storage, and Cloud Functions Advanced Python skills for data ingestion and transformation in a cloud-hosted data analytics ecosystem Demonstrated ability to lead technical initiatives, supervise small engineering teams, and work collaboratively across functions to deliver scalable solutions. Experience managing the full lifecycle of cloud services, including provisioning, monitoring, scaling, and decommissioning, with a strong focus on security, compliance, and operational excellence.
Preferred qualifications: Fintech experience/ Regulatory Experience with Azure/AWS
EEO:
Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.
Your opportunity At client, youre empowered to make an impact on your career. Here, innovative thought meets creative problem solving, helping us challenge the status quo and transform the finance industry together. We are seeking a season technology-focused senior engineer for our data cataloging and ingestion platform development, adoption, and maintenance. This is a great opportunity to play a pivotal role in driving the technical leadership and delivery of our enterprise data warehouse and analytics platforms. Specifically, you will oversee development and integration of data cataloging capabilities with cloud-based data assets ensuring our cloud data ecosystem is optimized, scalable and secure. This is an individual contributor role, ideal for a data engineer with cloud experience who thrives in a hands-on technical environment. You will collaborate with cross-functional teams to integrate data cataloging capabilities across our data ecosystem.
What you have
Technical Oversight: Provide technical leadership for development and operation of the data ingestion platform on Cloud, ensuring best practices in data movement and cataloging. Tooling Management: Lead the design, provisioning, integration, and maintenance of data catalog tooling with the data ingestion platform. Collaboration & Stakeholder Engagement: Partner with data application owners, developers on onboarding and operations within the data ingestion framework to deliver a unified and consistent data ecosystem. Consult on best practices, data security and protection, consumption, and transformation. Planning: Collaborate across the enterprise on plans for onboarding new and existing data assets in the data ingestion platform Automation: Utilize strong scripting skills to develop automation processes that will accelerate onboarding, provisioning, and data activation. Infrastructure Management: Provide ongoing requirements to cloud platform engineers to support data cataloging and ingestion. Participate in collaborative proofs-of-concept, product evaluations, and data tenant testing. Platform and Framework Support: Provide ongoing maintenance and support for tenant ingestion workloads, ensuring availability and robustness. Troubleshoot issues and provide resolution, communicating updates and status with relevant stakeholders. Supervision & Mentorship: Provide guidance and technical oversight to junior engineers and vendor contractors, ensuring high-quality execution and fostering professional growth within the team.
Required qualifications: Bachelors degree in Computer science, Engineering, or a related field. 7+ years of experience in software engineering, with a minimum of 4+ years of experience focused on data engineering within Cloud platforms Deep experience in implementation and rollout of data catalog tooling, capabilities (CDGC, Dataplex, Collibra, Atlan, etc) Experienced with Google like BigQuery (databases), Cloud Composer & Run(orchestration), BigQuery (databases), Cloud Storage, and Cloud Functions Advanced Python skills for data ingestion and transformation in a cloud-hosted data analytics ecosystem Demonstrated ability to lead technical initiatives, supervise small engineering teams, and work collaboratively across functions to deliver scalable solutions. Experience managing the full lifecycle of cloud services, including provisioning, monitoring, scaling, and decommissioning, with a strong focus on security, compliance, and operational excellence.
Preferred qualifications: Fintech experience/ Regulatory Experience with Azure/AWS
EEO:
Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.