Solution Architect (Closed)

SkillStorm is seeking a Solution Architect for our client in Addison, TX. Candidates must be able to work on SkillStorm's W2; not a C2C position. EOE, including disability/vets.

Job Description:

• Serve in the role of a Solution Architect within Data, Analytics & Insight Technology organization. Architect will support a variety of initiatives across the data and analytics domain within Consumer, Small Business & Wealth Management Technology. The Solution Architect will support business initiatives and strategic efforts that focus on building and leveraging information assets to improve sales and service activities for our business partners. The supported efforts will involve providing technical leadership for a broad set of data solutions spanning traditional data environments (RDBMS, ETL, etc.) as well as on big data technologies. The Solution Architect will have the following responsibilities: Drive conceptual and logical architecture design for new initiatives Develop standards, patterns, best practices for reuse and acceleration Ensure initiatives are adhering to strategic architecture principles Work with business partners to translate functional requirements into technical requirements Ability to provide technical recommendations and trade-offs to address business needs and timelines and drive to resolution Participate in cross-functional, cross-discipline architecture teams to enhance / set the architectural direction for key business initiatives Participate in the continued definition of our target Strategies Serve as a fully seasoned, technically proficient resource; routine accountability is for technical knowledge and capabilities as a team member or as an individual contributor. Will not have direct-reports but will influence and direct activities of a team related to special initiatives or operations. Influence, Negotiate and Lead technology alternative evaluations and implementations across the Technology and Line of Business organizations

Primary Skill:

• Data modelling and architecture

Secondary Skill:

• Hadoop

Required Skills:

• Minimum 1 year of hands-on experience working on data solutions in a Hadoop ecosystem Hands-on experience in designing, building and implementing analytical environments and business intelligence solutions Hand-on experience with ETL tools, technologies and development methodologies Understanding of large scale batch processing Understanding of large analytical environments, with many stakeholders, users, different (conflicting) sets of requirements, technology stacks Understanding of conceptual, logical and physical data modeling Ability to provide technical recommendations and trade-offs to address business needs and timelines Understanding and experience with web services, APIs and micro-services design and architecture Ability to create and drive the implementation of enterprise-level technology strategies Ability to create pragmatic, strategic technology alternatives which deliver short-term results while contributing to long-term strategic direction Effectively Influence, Negotiate and Lead technology alternative evaluations and implementations across the Technology and Line of Business organizations Excellent written and verbal communication skills Demonstrated ability to adapt to changes Effective negotiation and team facilitation skills

Desired Skills:

• Broad Client technical experience (3+ years) [ideally with experience in Global Wealth & Investment Management Technology] and good understanding of existing testing/operational processes and an open mind on how to enhance those 3-5 years of hands-on experience designing, building and implementing Big Data solutions in a Hadoop ecosystem Systems technology implementation Web services / APIs / micro-services Technical expertise with Spark, Map-reduce, HDFS, HIVE, Cloudera, HBase, Avro, Parquet or other Hadoop technologies. Understanding of industry trends and vendor positioning Solid understanding of banking/finance industry domain and applications Understanding of architecture methods Understanding of service-oriented architecture Understanding of relational databases, data modeling techniques Understand relevant application technologies and development life cycles Solid understanding of banking/finance industry domain and applications

#LI-DNI