Deloitte Master Data Architect in Raleigh, North Carolina
Forensic Analytics is a fast-growth practice within Deloitte Risk and Financial Advisory that centers around several of the hottest areas of business today – analytics, forensic analysis, and litigation support – and the specialized skills that make careers in these areas both fascinating and in high-demand. Our Analytics team makes extensive use of data, statistical and quantitative analysis, rules-based methods, and explanatory and predictive modeling to bring insights to client issues in the forensic and transaction domains. We work with specialists in many areas, and we apply our solutions to a wide range of highly interesting and complex corporate challenges, such as forensic investigations, sales fraud, anticorruption compliance, restructuring, safety and quality, enterprise fraud and misuse management to explain what has occurred in the past and to support informed decision making for the future. Our work increasingly employs specialized competencies, such as advanced analytics, visualization, and geospatial techniques.
Are you an experienced, passionate pioneer, who wants a daily collaborative environment, think-tank feel and share new ideas with your colleagues - without the extensive demands of travel? If so, consider an opportunity with our US Delivery Center – we are breaking the mold of a typical Delivery Center.
Our US Delivery Centers have been growing since 2014 with significant, continued growth on the horizon. Interested? Read more about our opportunity below …
Work you’ll do
The Deloitte Managed Services & Products practice launched a new service in the forensics space to detect fraud, waste, and abuse in various industries. The Anti-Fraud Waste and Abuse solution ("AFES") continues to increase the capacity, quality, and efficiency of the Deloitte forensic processing by utilizing state-of-the-art technology and machine learned in a dedicated environment. We have an urgent need for a Lead Data Architect to join our team and help drive the success of the technology center. Here are just some to the things you will be doing:
Work across enterprise architecture groups to shape and guide, recommend and influence and develop a data architecture strategy, reference and technology roadmap
Understand business requirements and translating business needs into data models, creating logical and physical data models using best practices to ensure high data quality and reduced redundancy.
Work across business applications owners to understand business processes and associated dataflows
Exposure to cloud environments (Azure / AWS) and hybrid cloud environments (cloud on-prem), including familiarity with data warehouse and data lake offerings on AWS Redshift and/or Microsoft Azure
Partners with and supports (as necessary) application, data, and technology enterprise architects to develop and integrate information and application architectures, strategies, approaches, policies, standards and pipelines
Drive change through implementation of a “as-a-service” model for data that encompasses metadata, lineage, data, metrics and models including AI/ML capabilities as APIs/microservices
Lead, define and implement guiding principles and own-enable-empower framework of data management across the enterprise data repositories
Implement data architectural roadmap to improve vitality, simplify current landscape, drive operational excellence through DevOps
In today’s global marketplace, organizations can become vulnerable to critical incidents that include international corruption, financial crime, enterprise fraud, cybercrime and supply chain breakdowns. Utilizing market-leading technology to uncover latent possibilities, our team advises clients on ways to mitigate exposure to these threats and turn business issues into opportunities for growth, resilience and long-term advantage.
Our team is made up of software engineers and data scientists collaborating to build the best world class fraud detection analytics solutions and case management web application.
Bachelor’s degree in Computer Science or related field or commensurate work experience
Expertise in configuring and maintaining PostgreSQL. Experience with RDS in AWS a big plus
Experience performance tuning queries and data models to produce the best execution plan
Experience with Apache Spark or AWS EMR
Experience with cloud platforms (AWS, Azure) with strong preference towards AWS
String experience building data pipelines & ETL. Experience with ETL tools such as Talend or Informatica
Experience with GIT
Experience working with Azure DevOps, JIRA or similar project tracking software
Experience with both Windows and Linux
Understanding of the full software development life cycle in an AGILE development team
Experience with microservices running within Docker
Experience with data streaming such as Apache Kafka, AWS kinesis, Spark Streaming, or similar tools
Experience with many other big data technologies at scale. Experience with Big Query or similar (Redshift, Snowflake, other MPP databases)
Knowledge of when to use NOSQL versus traditional RDBMS
Experience with BI tools such as Tableau
SQS, RabbitMQ or similar queueing technologies a plus
How you’ll grow
At Deloitte, our professional development plan focuses on helping people at every level of their career to identify and use their strengths to do their best work every day. From entry-level employees to senior leaders, we believe there’s always room to learn. We offer opportunities to help sharpen skills in addition to hands-on experience in the global, fast-changing business world. From on-the-job learning experiences to formal development programs at Deloitte University, our professionals have a variety of opportunities to continue to grow throughout their career. Explore Deloitte University, The Leadership Center. (https://zoomforth.com/s/deloitte/du#home)
At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits.
Our positive and supportive culture encourages our people to do their best work every day. We celebrate individuals by recognizing their uniqueness and offering them the flexibility to make daily choices that can help them to be healthy, centered, confident, and aware. We offer well-being programs and are continuously looking for new ways to maintain a culture where our people excel and lead healthy, happy lives. Learn more about Life at Deloitte. (http://www2.deloitte.com/us/en/careers/life-at-deloitte.html?icid=top_life-at-deloitte)
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