
Data Platform Architect
Jersey City, NJJobSeen 1 day agoSeen in employer's feed 1 day ago
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Job overview
A senior-level Data Platform Architect will lead the modernization of a large financial company's enterprise data environment, defining future-state architecture and guiding migration from on-premises systems to AWS cloud. The role involves designing scalable platforms, establishing best practices, evaluating technologies, and advising leadership on migration strategy, risks, and timelines.
Skills & qualifications
Skills
Qualifications
Full job description
Job Description
A large financial company is looking for a senior-level Data Platform Architect to help lead a major modernization of an enterprise data environment. The main goal is to help define what the future data platform should look like and lead the transition from large, legacy on-prem environments into the cloud. This person needs to have done a large-scale data modernization or cloud migration before, ideally in a complex enterprise environment. They’ll work closely with engineering, infrastructure, security, architecture, and business teams to determine the right technologies, architecture, and migration strategy. This resource will be: o Designing the future-state architecture for the company’s data platforms. o Helping lead large migrations from on-prem systems into AWS/cloud environments. o Building architecture that can handle extremely large amounts of data. o Establishing standards and best practices around data engineering, governance, security, and monitoring. o Evaluating technologies for data storage, processing, streaming, and analytics. o Providing technical direction to teams working with Databricks, Spark, Kafka, and AWS. o Making sure the environment is scalable, reliable, cost-effective, and performing well. o Helping leadership understand migration plans, risks, timelines, and overall modernization strategy.
Skills and Requirements
7+ years experience leading a large enterprise cloud/data migration at a financial company, ideally involving hundreds of terabytes or petabytes of data. Strong hands-on knowledge of: Databricks, Apache Spark, Apache Kafka, AWS Experience moving data off legacy platforms like Vertica, Hadoop, Teradata, Oracle, Snowflake, or something comparable. Strong development background with Java, Python, SQL, or similar object-oriented languages.
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to [email protected].
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