Senior Lead Analytics Consultant - Data Engineering
Company: Wells Fargo
Location: Raleigh
Posted on: January 26, 2023
Job Description:
The Senior Lead Analytics Consultant role will analyze data
flows, metadata, and data lineage across Consumer & Small Business
Banking and Lending (CSBBL) data domains and sub-domains. This role
will partner with senior data architects and strategists to define
and implement tactical and strategic architectures, platforms, and
frameworks based on insights gained through deep analysis. Key
responsibilities include:
- Proven hands-on development expertise in Data warehousing ETL
stack and Big Data technology stack including Hadoop, Hive, Python,
Java/Scala, SPARK, Tableau, AtScale etc.
- Lead and perform current state data assessments and contribute
to future state vision.
- Contribute to and implement Data Strategy for private and
public cloud.
- Conduct deep analysis of data movement across multiple and
diverse data platforms, including big data (Hadoop, Spark), NoSQL
(MongoDB), traditional RDBMS (Oracle, SQL Server, Teradata, etc.)
and mainframe (VSAM).
- Develop a comprehensive understanding of data lineage and usage
patterns from external vendors through internal systems or origin
(SOO), systems of record (SOR), operational data platforms,
Authorized Provisioning Points (APP) and reporting &
analytics.
- Conduct analysis for metadata availability and completeness for
applications along the data pathway (data lineage). Identify and
remediate gaps in technical and business metadata, improve
usability of Enterprise data assets.
- Design reusable frameworks for data engineering and establish
architecture patterns for data engineering across traditional and
big-data solutions, based on insights gained during current state
data assessments
- Advanced level expertise in building high performance data and
analytical products
- Ability to conduct technical training sessions for technical
and business users This role will also work closely with the rest
of the Enterprise Data & Analytics Engineering & Architecture team
Other responsibilities/experience needed for this role include:
- Partner with Line of Business and Technical leaders to design
and implement data solutions for data pipeline, ingestion,
conformance and fit for purpose use cases.
- Partner with Enterprise data teams and Line of Business
partners on customer-centric view of the data, data reuse, and data
consistency across all customer interactions
- Collaborate with Enterprise Data organization on supplying and
governing Consumer data going into Authorized Provisioning Points
(APP), including the Enterprise Data Lake.
- Establish data standards and governance across CSBBL. Manage
data as a strategic asset and operationalize data governance, data
quality, and controls across the organization
- Introduce and propagate modern Engineering practices around
Data including reusable/configurable data pipeline, data quality
controls, data access controls, and automation of data-related
processes
- Drive consistency, efficiencies, and cost benefits through
establishing and continuously improving Data Integration practices
and standards
- Experience driving significant maturity improvements in
low-maturity technology environments (experience consulting teams,
experience collaborating across enterprise to mature technology
solutions, experience delivering production great modern
capabilities, experience delivering in Agile environment). Required
Qualifications, US:
- 7+ years of Analytics and Reporting, Financial Modeling,
Statistics, or equivalent demonstrated through one or a combination
of the following: work experience, training, military experience,
education
- 7+ years of experience with complex data analysis across
multiple applications and database platforms, including external
data sources (vendors), internal SOO/SOR, and data analytics &
reporting.
- 5+ years of technical leadership or architecture experience, in
a data and technical environment to include Data Engineering, Data
Management, ETL, Big Data Hadoop, and AI/ML capabilities Desired
Qualifications:
- A Bachelor's or advanced degree in Data Science, Statistics or
other relevant field
- 7+ years' software engineering experience in Big Data
Engineering, Application Support and/or Technology Operations
- 3+ years of experience with Agile practices
- End-to-End data, analytics and machine learning technology and
business acumen experience in Data Warehousing, ODS, Big Data
platforms and related technology stacks such as ETLs, Python,
Spark, Hive and cloud native data capabilities
- Ability to implement data and analytics capabilities and
mindset at scale We Value Diversity At Wells Fargo, we believe in
diversity, equity and inclusion in the workplace; accordingly, we
welcome applications for employment from all qualified candidates,
regardless of race, color, gender, national origin, religion, age,
sexual orientation, gender identity, gender expression, genetic
information, individuals with disabilities, pregnancy, marital
status, status as a protected veteran or any other status protected
by applicable law. Employees support our focus on building strong
customer relationships balanced with a strong risk mitigating and
compliance-driven culture which firmly establishes those
disciplines as critical to the success of our customers and
company. They are accountable for execution of all applicable risk
programs (Credit, Market, Financial Crimes, Operational, Regulatory
Compliance), which includes effectively following and adhering to
applicable Wells Fargo policies and procedures, appropriately
fulfilling risk and compliance obligations, timely and effective
escalation and remediation of issues, and making sound risk
decisions. There is emphasis on proactive monitoring, governance,
risk identification and escalation, as well as making sound risk
decisions commensurate with the business unit's risk appetite and
all risk and compliance program requirements. Candidates applying
to job openings posted in US: All qualified applicants will receive
consideration for employment without regard to race, color,
religion, age, sex, sexual orientation, gender identity, national
origin, disability, or status as a protected veteran. Candidates
applying to job openings posted in Canada: Applications for
employment are encouraged from all qualified candidates, including
women, persons with disabilities, aboriginal peoples and visible
minorities. Accommodation for applicants with disabilities is
available upon request in connection with the recruitment
process.
Keywords: Wells Fargo, Raleigh , Senior Lead Analytics Consultant - Data Engineering, Professions , Raleigh, North Carolina
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