Data Integrations Engineer Miami, United States

About the position

At Anaplan, we are a team of innovators who are focused on optimizing business decision-making through our leading scenario planning and analysis platform so our customers can outpace their competition and the market. What unites Anaplanners across teams and geographies is our collective commitment to our customers' success and to our Winning Culture. Our customers rank among the who's who in the Fortune 50. Coca-Cola, LinkedIn, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies that rely on our best-in-class platform. Our Winning Culture is the engine that drives our teams of innovators. We champion diversity of thought and ideas, we behave like leaders regardless of title, we are committed to achieving ambitious goals and we have fun celebrating our wins. Supported by operating principles of being strategy-led, values-based and disciplined in execution, you'll be inspired, connected, developed and rewarded here. Everything that makes you unique is welcome; join us and be your best self! As a Data Integrations Engineer on the IT Enterprise Business Applications team, you will work closely with stakeholders to gather requirements, develop solutions, and drive them through production. You will design and implement scalable data integration solutions that enable business teams to streamline and automate critical processes. With a passion for innovation and automation, you will also identify areas for improvement and build solutions that enhance operational efficiency and data governance across the organization. Our tech stack includes tools like Python, Google Big Query, AWS, Tableau, Informatica IICS, and more.

Responsibilities

• Collaborate directly with stakeholders to gather, define, and prioritize requirements for data integration solutions.
• Design and implement scalable data integration and pipeline architectures in distributed systems or hybrid cloud environments.
• Develop solutions to support key business processes such as Lead-to-Cash, Procure-to-Pay, and Hire-to-Retire.
• Ensure adherence to data governance and data quality standards, leveraging tools like Informatica Data Governance.
• Identify opportunities for process improvements, infrastructure optimization, and automation of manual tasks.
• Build and maintain data transformation processes, metadata management, and workload management pipelines.
• Develop low-code/no-code solutions using platforms like Microsoft PowerApps and Power Automate to accelerate development and innovation.
• Create self-service analytics tools to provide actionable insights into business performance.
• Research industry trends and emerging technologies (e.g., GraphQL) to drive digital transformation.
• Follow best practices for development, including test-driven development (TDD) and comprehensive documentation.

Requirements

• Strong SQL knowledge and proficiency in database querying and optimization.
• 5+ years of experience in system/data integration, development, or implementation of enterprise and/or cloud software.
• Experience in collaborating with stakeholders to define requirements and design data integration solutions.
• Familiarity with data governance and data quality frameworks; experience with Informatica Data Governance is a plus.
• Proficiency with low-code/no-code platforms such as Microsoft PowerApps and Power Automate.
• Proficiency in any data integration/ETL technologies like Informatica, Mulesoft, or Dell Boomi.
• Demonstrated experience with programming languages like Python or Java.
• Experience designing, implementing, and deploying scalable API services using RESTful standards.
• Strong understanding of SaaS application architectures and integration patterns.
• Working knowledge of platforms like Google Big Query, Snowflake, and AWS services.
• A highly motivated, innovative mindset with a passion for automation and operational efficiency.

Nice-to-haves

• Knowledge of stream processing platforms like Kafka and message queuing.
• Experience with RPA (Robotic Process Automation) technologies, including tools like Automation Anywhere and SNOW RPA.
• Experience with CI/CD pipeline automation, including applying these practices with services such as GitLab CI and Jenkins.