Senior Cloud Data Engineer
23 hours ago
In a fast-changing world, having a trusted financial partner is more important than ever. For over a century, Central Bank has been a reliable friend to many people and businesses. Today, as we grow into new areas, we stay committed to helping you with your financial needs.
Our journey began back in 1902 in the heart of mid-Missouri. Now, with over 120 years of history behind us, we carry forward the same values of integrity and legendary service. Our roots run deep in the communities we serve. We are committed to building an inclusive culture that opens a world of opportunities for our team, customers, and every community within our reach. We embrace people and opportunities, engage with our time, talent and resources, and elevate relationships through added value.
At Central Technology Services, a division of Central Bank, powers the best in banking technology and provides the best solution for those we serve. We explore innovative solutions and technology, embracing Robotics and AI, to deliver unique solutions. We also provide the highest level of security to power the bank and our customers' financial lives.
We understand that technology is constantly evolving, and we strive to stay at the forefront of innovation in the banking industry. That's why we're always looking for talented individuals with a passion for technology to join our team. Whether you're an experienced software developer, a cybersecurity expert, or just starting your career, we have exciting opportunities for you.
About the Role:
We are looking for a highly experienced Senior Cloud Data Engineer to join our innovative team. The ideal candidate will have a deep understanding of Microsoft data services, including Azure Fabric, Azure Data Factory (ADF), Azure Synapse, and ETL/ELT processes. This role focuses on designing, developing, and maintaining cloud-based data pipelines and solutions to drive our analytics and business intelligence capabilities.
Key Responsibilities:
- Provide technical leadership in modernizing legacy data ingestion, ETL/ELT, and databases to cloud technologies (AWS/Azure).
- Demonstrate a self-driven, ownership mindset to navigate ambiguity, resolve constraints, and mitigate risks with minimal supervision.
- Implement data access, classification, and security patterns that comply with regulatory standards (PII, locational data, contractual obligations, etc.).
- Build strong relationships with technical teams through effective communication, presentation, and collaboration skills.
- Collaborate with stakeholders, business analysts, and SMEs to translate business requirements into scalable solutions.
- Integrate data from multiple sources into cloud-based architectures, collaborating with cross-functional teams.
- Work closely with data scientists, analysts, and stakeholders to meet data requirements with high-quality solutions.
- Function within a matrixed team environment, sharing responsibilities across various teams.
- Perform data profiling and analysis on both structured and unstructured data.
- Design and map ETL/ELT pipelines for new or modified data streams, ensuring integration into on-prem or cloud-based data storage.
- Automate, validate and maintain ETL/ELT processes using technologies such as Databricks, ADF, SSIS, Spark, Python, and Scala.
- Proactively identify design, scope, or development issues and provide recommendations for improvement.
- Conduct unit, system, and integration testing for ETL/ELT solutions, ensuring defects are resolved.
- Create detailed documentation for data processes, architectures, and workflows.
- Monitor and optimize the performance of data pipelines and databases.
- Competitive compensation that tailored to your experience and skills.
- Comprehensive Benefits - Medical, dental, and vision coverage, plus company-paid life insurance
- 401(k) Savings Plan with company contributions:
- Automatic 4% company contribution-no employee contribution required.
- 50% match on the first 6% you contribute.
- 18 Days of Paid-Time Off (PTO), Birthday PTO Day, and 11 paid federal bank holidays annually
- Tuition Reimbursement to help you pursue your educational goals and career advancement.
- Personal and Professional Growth Opportunities.
- Causal Dress Code
- Community Involvement including United Way Days, Mobile Food Panty, Blood Drives, Adopt a Family, and more
Required Skills and Qualifications:
- 3+ years of experience in designing and implementing data warehouse and analytics solutions (on-premise and cloud).
- 3+ years of expertise in data warehousing concepts (ETL/ELT, data quality management, privacy/security, MDM) with hands-on experience using ADF, Data Factory, SSIS, and related tools.
- 3+ years of experience with cloud data and cloud-native data lakes/warehouses. Microsoft Azure services (Fabric Lakehouse, ADF, Data Factory, Synapse, etc.).
- 2+ years of experience in Python, Scala, or Java for use with distributed processing and analytics, such as Spark.
- Familiarity with CI/CD practices and tools such as Azure DevOps, Git, or Jenkins.
- Proven ability to mentor team members and guide best practices for data engineering.
- Strong problem-solving skills with high attention to detail.
- Excellent communication skills for effective collaboration with diverse teams.
- Experience with Snowflake, Databricks, AWS
- Experience with containerization, microservices, streaming, and event-sourcing architecture patterns.
- Knowledge of Kafka, Eventstream, architectures.
- Experience with Microsoft Purview
- Previous experience in the financial or banking sector.
- Familiarity with machine learning concepts and frameworks.
- Experience with reporting tools such as Power BI or Tableau.
- Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience).
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