Intelligent Automation Architecture - Manager - Consulting - Location OPEN
Company: Ernst & Young Advisory Services Sdn Bhd
Location: San Francisco
Posted on: April 8, 2025
Job Description:
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Primary Location OnlyDate: Apr 4, 2025Requisition ID: 1597411At EY,
you'll have the chance to build a career as unique as you are, with
the global scale, support, inclusive culture and technology to
become the best version of you. And we're counting on your unique
voice and perspective to help EY become even better. Join us and
build an exceptional experience for yourself, and a better working
world for all.The exceptional EY experience. It's yours to build.EY
focuses on high-ethical standards and integrity among its employees
and expects all candidates to demonstrate these
qualities.Technology - AI & Data - Data Engineering - Manager -
Telecomm, Media & Tech sectorEY delivers unparalleled tech
consulting services in data strategy, business intelligence,
digital, machine learning and Artificial Intelligence. We support
and enable big ideas, always with the ambitions to keep doing
more.The opportunityEY is seeking a Data Engineering Manager with a
strong understanding of data and technology within the TMT sector,
complemented by a solid track record of delivery. This individual
will spearhead the design and development of ingests, builds and
pipelines that support large-scale data architectures, serving
multiple downstream systems and business users. This individual
will support Data Engineering Leads and will have the opportunity
to lead and develop skills around the ever-growing demands of the
modern data platform. This is a high growth area and a high
visibility role with plenty of opportunities to enhance your
skillset and build your career.As a Data Engineering Manager, you
will have the unique opportunity to design and construct analytics
solutions that drive tangible business value. You will work
collaboratively with a team of data professionals to translate
complex business requirements into technical specifications,
ensuring the development aligns with the intended design. Your role
will involve designing, building, and operating sustainable data
architecture, optimizing data functionality for both on-premises
and cloud-based platforms.Your key responsibilitiesIn this role,
you will manage and deliver multiple processes, solutions, and
projects, focusing on quality and effective risk management. You
will be proactive in continuous process improvement, leveraging
research and analysis to identify innovative solutions. Your
responsibilities will include:
- Leading workstream delivery, project management, client
engagement, identifying sales opportunities, and contributing to
engagement economics and resource planning
- Design and construct analytics solutions
- Translate business requirements into technical
specifications
- Optimize data functionality for data platforms
- Build out new integrations using cloud native technologies to
support continuing increases in data source, volume, and
complexity.
- Define data requirements, gather and mine large scale of
structured and unstructured data, and validate data by running
various data tools in the data ecosystem.
- Support standardization, customization and ad-hoc data analysis
and develop the mechanisms to ingest, analyze, validate, normalize,
and clean data.
- Write unit/integration/performance test scripts and perform
data analysis required to troubleshoot data related issues and
assist in the resolution of data issues.
- Implement processes and systems to drive data reconciliation
and monitor data quality.
- Lead the evaluation, implementation and deployment of emerging
tools and processes for analytic data engineering to improve
productivity.
- Extract, transform, and load data from multiple
external/internal sources into a single, consistent source to serve
business users and data visualization needs.
- Utilize the principles of continuous integration and delivery
to automate the deployment of code changes to elevate environments,
foster enhanced code quality, test coverage, and automation of
resilient test cases.
- Develop and deliver communication and education plans on
analytic data engineering capabilities, standards, and
processes.
- Solve complex data problems by delivering insights that help
achieve business objectives.
- Lead and mentor more junior team members.Skills and attributes
for successTo thrive in this role, you will need a strong ability
to manage change, lead teams effectively, and maintain excellent
relationship management skills. You should be adept at
problem-solving, critical thinking, and have a deep expertise in
data architecture and software engineering.
- Partner with Business Analysts and Solution Architects to
develop technical architectures for strategic enterprise projects
and initiatives.
- Coordinate with Data Scientists to understand data
requirements, and design solutions that enable advanced analytics,
machine learning, and predictive modelling.
- Support Data Scientists in data sourcing and preparation to
visualize data and synthesize insights of commercial value.
- Collaborate with AI/ML engineers to create data products for
analytics and data scientist team members to improve
productivity.
- Advise, consult, mentor and coach other data and analytic
professionals on data standards and practices, promoting the values
of learning and growth.
- Foster a culture of sharing, re-use, design for scale,
stability, and operational efficiency of data and analytical
solutions.
- Develop solutions for complex problems
- Provide direction and feedback to team membersTo qualify for
the role, you must have
- A Bachelor's degree in STEM
- 6+ years of relevant experience in software development, data
science, data engineering, ETL, and analytics reporting
development.
- 3+ years' experience with native cloud products and services
such as AWS, Azure or GCP.
- 2+ years of experience mentoring and leading a team of data
engineers, fostering a culture of innovation and professional
development.
- Experience designing, building, implementing, and maintaining
data and system integrations using dimensional data modelling and
development and optimization of ETL pipelines.
- Proven track record of designing and implementing complex data
solutions.
- Demonstrated understanding and experience using:
- Distributed data technologies (e.g., Pyspark)
- Cloud platform deployment and tools (e.g., Kubernetes)
- Relational SQL databases
- DevOps and continuous integration
- GitHub
- Strong organizational skills with the ability to manage
multiple projects simultaneously and operate as a leading member
across globally distributed teams to deliver high-quality services
and solutions.
- Understanding of database architecture and administration.
- Excellent written and verbal communication skills, including
storytelling and interacting effectively with multifunctional teams
and other strategic partners.
- Experience in using Agile methodologies (Scrum, Kanban,
etc.).
- Strong problem solving and troubleshooting skills.
- Ability to work in a fast-paced environment and adapt to
changing business priorities.Ideally, you'll also have
- Strong business acumen with the ability to manage complex
client relationships
- Proven experience in managing and leading teams within a
dynamic environment
- Excellent communication and interpersonal skills
- Experience in at least one of Telecom, Media, and Technology
industries.
- Experience with cloud data platforms like Snowflake and
Databricks.
- Experience in leading and influencing teams, with a focus on
mentorship and professional development.
- A passion for innovation and the strategic application of
emerging technologies to solve real-world challenges.
- The ability to foster an inclusive environment that values
diverse perspectives and empowers team members.What we look forWe
are looking for top performers who demonstrate a combination of
technical expertise and leadership abilities. Ideal candidates are
those who can navigate complex problems with innovative solutions,
have a track record of successful project delivery, and possess the
skills to build and maintain strong client relationships.What we
offerWe offer a comprehensive compensation and benefits package
where you'll be rewarded based on your performance and recognized
for the value you bring to the business. The base salary range for
this job in all geographic locations in the US is $141,400 to
$259,200. The salary range for New York City Metro Area, Washington
State and California (excluding Sacramento) is $169,700 to
$294,600. Individual salaries within those ranges are determined
through a wide variety of factors including but not limited to
education, experience, knowledge, skills and geography. In
addition, our Total Rewards package includes medical and dental
coverage, pension and 401(k) plans, and a wide range of paid time
off options. Join us in our team-led and leader-enabled hybrid
model. Our expectation is for most people in external, client
serving roles to work together in person 40-60% of the time over
the course of an engagement, project or year. Under our flexible
vacation policy, you'll decide how much vacation time you need
based on your own personal circumstances. You'll also be granted
time off for designated EY Paid Holidays, Winter/Summer breaks,
Personal/Family Care, and other leaves of absence when needed to
support your physical, financial, and emotional well-being.
- Continuous learning: You'll develop the mindset and skills to
navigate whatever comes next.
- Success as defined by you: We'll provide the tools and
flexibility, so you can make a meaningful impact, your way.
- Transformative leadership: We'll give you the insights,
coaching and confidence to be the leader the world needs.
- Diverse and inclusive culture: You'll be embraced for who you
are and empowered to use your voice to help others find theirs.
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Keywords: Ernst & Young Advisory Services Sdn Bhd, San Francisco , Intelligent Automation Architecture - Manager - Consulting - Location OPEN, Executive , San Francisco, California
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