Managed Services - Analytics and Insights - Data Tech Engineer - Sr. Associate

A career in our Managed Services team will provide you an opportunity to collaborate with a wide array of teams to help our clients implement and operate new capabilities, achieve operational efficiencies, and harness the power of technology. Our Analytics as a Service team will provide you with the opportunity to help organizations harness the power of their enterprise data/analytics solutions by optimizing the technology while driving innovation to increase business outcomes and though data insights. We assist our clients in capitalizing on technology improvements, implementing new capabilities and achieving operational insights by managing, maintaining and evolving their analytics platforms and ecosystems. We help our clients maximize the value of their investment focusing on continuous improvement of their analytics solutions such as Microsoft, Amazon Web Services and Google Cloud

To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be a purpose-led and values-driven leader at every level. To help us achieve this we have the PwC Professional; our global leadership development framework. It gives us a single set of expectations across our lines, geographies and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future.

As a Senior Associate, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to:

• Use feedback and reflection to develop self awareness, personal strengths and address development areas.

• Delegate to others to provide stretch opportunities, coaching them to deliver results.

• Demonstrate critical thinking and the ability to bring order to unstructured problems.

• Use a broad range of tools and techniques to extract insights from current industry or sector trends.

• Review your work and that of others for quality, accuracy and relevance.

• Know how and when to use tools available for a given situation and can explain the reasons for this choice.

• Seek and embrace opportunities which give exposure to different situations, environments and perspectives.

• Use straightforward communication, in a structured way, when influencing and connecting with others.

• Able to read situations and modify behavior to build quality relationships.

• Uphold the firm's code of ethics and business conduct.

Our Data and Analytics Managed services team is focused to build, enhance, and scale the modern, connected data ecosystem that accelerates the use of data, analytics, and advanced AI. We are in search of passionate, motivated, and creative Senior Associates in role of Data Technology Engineer, Data Governance SME to join our Managed services team. The senior associate will be responsible for designing and implementing innovative solutions to build and manage the advanced Data ecosystem.

Job Requirements and Preferences:

Basic Qualifications:

Minimum Degree Required:
Bachelor Degree

Minimum Years of Experience:
10 year(s)

Preferred Qualifications:

Preferred Fields of Study:
Computer and Information Science, Information Technology

Certification(s) Preferred:

Certification in any industry leading tools or technology for Data and Analytics

Preferred Knowledge/Skills:

Demonstrates thorough abilities and/or a proven record of success as a team leader by:

• Demonstrating minimum 5 years’ experience of leading data architecture and design implementations and discussions;

• Demonstrating minimum 3 years hand on experience building advanced Data warehousing solutions on leading cloud platforms;

• Demonstrating minimum 3 years’ hands on Experience of delivering Managed Data and Analytics programs (Managed services and Managed assets);

• Designing, implementation and maintaining data technology solutions that meet business requirements;

• Developing scalable, repeatable, and secure data structures and pipelines to ingest, store, collect, standardize, and integrate data that for downstream consumption like Business Intelligence systems, Analytics modelling, Data scientists etc.;

• Building efficient, ETL/ELT processes using industry leading tools like Informatica, Talend, Spark etc.

• Building and maintaining Data Governance solutions (Data Quality, Metadata management, Lineage, Master Data Management and Data security) using industry leading tools;

• Demonstrating experience with Data analytics tools like Informatica, Collibra, Hadoop, Spark, Snowflake etc.;

• Understanding of data consumption patterns and BI tools like tableau, Qlik sense, PowerBI etc.;

• Demonstrating experience of ITIL processes like Incident management, Problem Management, Knowledge management, Release management, Data DevOps etc.;

• Demonstrating communication, problem solving, quantitative and analytical abilities;

• Working with a managed services organization with a passion for building new service offerings in the Data and Analytics space and demonstrate proven experience in following key areas/activities;

• Designing, implementing, and maintaining data technology solutions that meet business requirements; 

• Implementing Data processing functions like Data Cleansing, profiling, wrangling standardization and make data available to be ingested the Data ecosystem using advanced concepts like Data lakes, Data fabric, Data Vault, Data Mesh etc.;

• Driving large transformation initiatives like Cloud migration etc.;

• Working closely with cross functional teams to develop and maintain scalable, robust, and efficient data architectures to support business Intelligence, analytics, and reporting needs;

• Evaluating and selecting best fit tools and technologies by conducting PoCs and Pilot solutions;

• Conducting performance tuning, troubleshooting and optimization of Data solutions to improve system performance and stability; and,

• Providing guidance and mentorship to junior associates and engineers in the team.

Learn more about how we work: https://pwc.to/how-we-work

PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.

All qualified applicants will receive consideration for employment at PwC without regard to race; creed; color; religion; national origin; sex; age; disability; sexual orientation; gender identity or expression; genetic predisposition or carrier status; veteran, marital, or citizenship status; or any other status protected by law. PwC is proud to be an affirmative action and equal opportunity employer.

For positions based in San Francisco, consideration of qualified candidates with arrest and conviction records will be in a manner consistent with the San Francisco Fair Chance Ordinance.

For positions in Albany (NY), California, Colorado, Nevada, New York City, Washington State, or Westchester County (NY), please visit the following link for pay range information: https://pwc.to/payrange-v1-mgdsrvcsseniorassociate

#LI-Remote