Droisys is an innovation technology company focused on helping companies accelerate their digital initiatives from strategy and planning through execution. We leverage deep technical expertise, Agile methodologies, and data-driven intelligence to modernize systems of engagement and simplify human/tech interaction.

Amazing things happen when we work in environments where everyone feels a true sense of belonging and when candidates have the requisite skills and opportunities to succeed. At Droisys, we invest in our talent and support career growth, and we are always on the lookout for amazing talent who can contribute to our growth by delivering top results for our clients. Join us to challenge yourself and accomplish work that matters.

Client Description

Our client is a major Fortune 500 company and one of the world’s most innovative and cutting-edge technology companies, and this role is in the Interactive department.

Droisys is seeking Big Data Architect job offering onsite work for a long-term job opportunity in Boston, MA area of the USA.

Job Description

Job Title Big Data Architect

Job Location Boston, MA [Onsite Work]

Duration 12 Months [Contract job with potential extensions]

Key Skills Financial Domain, Big Data Architecture, Data Analytics, Hadoop, Databricks, Snowflake, Databrick, Data Vault, JAVA, Impala, Hive

Job Details

• Deep expertise in Big Data, data warehouse, data analytics projects, and/or any Information Management related projects
• Prior experience building large scale enterprise data architectures using commercial and/or open source Data Analytics technologies
• Facilitate the establishment and execution of the roadmap and vision for information delivery and management; including the enterprise data warehouse, big data, BI & analytics, content management and data management
• Lead a team of business analysts, data architects and data engineers to architect and deliver the solutions that fulfill the Business information needs and align with the information vision and strategy
• Apply business strategy while driving technology strategy, balancing short term and long term needs to ensure that the architecture can scale and evolve accordingly
• Engage an end-to-end approach by connecting all the pieces of data and deliver a streamlined model
• Strong knowledge of data manipulation languages such as Spark, Scala, Impala, Hive SQL, Apache Nifi and Kafka necessary to build and maintain complex queries, streaming and real-time data pipelines
• Ability to produce client ready solution architecture, business understandable presentations and good communication skills to lead and run workshops

Requirement

• Minimum 15 years of progressive information management solutions and end-to-end development life-cycle support and SDLC processes
• Minimum eight years leading a team including business analysts, architects, engineers, quality assurance, and operations professionals
• Bachelor's degree in computer science or relevant field from an accredited college or university; Master's degree from an accredited college or university preferred.
• Established experience delivering information management solutions to large numbers of end users
• Experience in Financial Services domain, specifically in FX Trading is strongly preferred
• Demonstrated understanding of enterprise data warehouse, big data, BI & analytics, content management and data management.
• Data modelling and architecting skills including strong foundation in data warehousing concepts, data normalization, and dimensional data modelling such as OLAP, or data vault
• Good fundamentals around security integration including Kerberos authentication, SAML and data security and privacy such as data masking and tokenization techniques
• Good knowledge in DevOps engineering using Continuous Integration/ Delivery tools
• An in depth understanding of Cloud solutions (AWS, Azure and/or Google Cloud Platform) and experienced in integrating into traditional hosting/delivery models
• Experience with two or more of the following areas including Oracle 11g, Oracle Exadata, traditional data marts, Hadoop, Databricks, Snowflake, Data Stage, ETL, Tableau, Qlikview, AI/ML techniques, Java, Impala, Hive etc.

Droisys is an equal opportunity employer. We do not discriminate based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. Droisys believes in diversity, inclusion, and belonging, and we are committed to fostering a diverse work environment.