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Big Data Analytics Lead Jobs (NOW HIRING)

Big Data Engineer

Pittsburgh, PA · On-site

$100K - $130K/yr

... business and analytics needs. Roles & Responsibilities * Lead the design, development, and ... Big Data / Hadoop ecosystem (Hadoop, Hive, Impala, HDFS) - deep, hands-on experience in on-premises ...

Support development lead in determining architecturally significant requirements for data analytics solutions; Design big data platform API; Provide guidance and mentor developers in the data ...

Support development lead in determining architecturally significant requirements for data analytics solutions; Design big data platform API; Provide guidance and mentor developers in the data ...

Project Manager - Data Analytics Lead

$53 - $71.75/hr

Job Summary Aptive/Artemis seeks a Data Analytics Lead responsible for leading data analysis, reporting, and performance evaluation activities in support of large-scale federal transition assistance ...

Project Manager - Data Analytics Lead

$53 - $71.75/hr

Job Summary Aptive/Artemis seeks a Data Analytics Lead responsible for leading data analysis, reporting, and performance evaluation activities in support of large-scale federal transition assistance ...

Senior Big Data Engineer

Duluth, GA

$51.25 - $68/hr

Developing data analytics, data mining and reporting solutions using Teradata Aster and Hortonworks Hadoop. Working on projects that provide real-time and historical analysis, decision support ...

Big Data Engineer

Dallas, TX · On-site

$51.50 - $68/hr

... business and analytics needs. Roles & Responsibilities * Lead the design, development, and ... Big Data / Hadoop ecosystem (Hadoop, Hive, Impala, HDFS) - deep, hands-on experience in on-premises ...

... the big data platform; • Support development lead in determining architecturally significant requirements for data analytics solutions; • Design big data platform API; • Provide guidance and ...

... the big data platform; • Support development lead in determining architecturally significant requirements for data analytics solutions; • Design big data platform API; • Provide guidance and ...

PH : 661 367 8000 x 513 Technical Skills Required Any combination of below technical skills Big Data : HDFS, MapReduce, Hive, Hbase, Pig, Mahout, Avro, Oozie, Flume, Sqoop Processing & Streaming

... 3 big data projects with SPARK using JAVA and the Project should have gone Live to Production Must have supported atleast 2 or More projects as Technical Lead in designing large scale data ...

Big Data Architect

Houston, TX · On-site

$61 - $78.25/hr

Hands on IT Architect with Big Data Analytics and Cloud based software development in Oil and Gas ... At least 2 years should have been in an architect/technical lead role * Candidate must have 2+ ...

Big Data Engineer

Pittsburgh, PA · On-site

$54 - $71.50/hr

... business and analytics needs. Roles & Responsibilities * Lead the design, development, and ... Big Data / Hadoop ecosystem (Hadoop, Hive, Impala, HDFS) - deep, hands-on experience in on-premises ...

Big Data Architect

Houston, TX · On-site

$61 - $78.25/hr

Hands on IT Architect with Big Data Analytics and Cloud based software development in Oil and Gas ... At least 2 years should have been in an architect/technical lead role * Candidate must have 2+ ...

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Big Data Analytics Lead information

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How much do big data analytics lead jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for big data analytics lead in the United States is $59.24, according to ZipRecruiter salary data. Most workers in this role earn between $58.65 and $59.86 per hour, depending on experience, location, and employer.

What is the difference between Big Data Analytics Lead vs Data Scientist?

AspectBig Data Analytics LeadData Scientist
Required CredentialsBachelor's/Master's in Data Science, Computer Science, or related fields; certifications in Big Data toolsBachelor's/Master's in Data Science, Statistics, or related fields; certifications in data analysis or machine learning
Work EnvironmentLeads teams on big data projects, collaborates with IT and business units, often in enterprise settingsAnalyzes data, builds models, often in research or product teams, with a focus on data exploration
Employer & Industry UsageUsed in industries with large data needs like finance, tech, healthcareCommon across tech, finance, marketing, and research sectors

The Big Data Analytics Lead focuses on managing big data projects and leading teams, while Data Scientists primarily analyze data and develop models. Both roles require strong technical skills and familiarity with data tools, but their responsibilities differ in scope and leadership level.

What are the key skills and qualifications needed to thrive as a Big Data Analytics Lead?

To thrive as a Big Data Analytics Lead, you need expertise in data analysis, data modeling, and statistical techniques, typically backed by a degree in computer science, statistics, or a related field. Familiarity with big data platforms like Hadoop and Spark, data visualization tools, and programming languages such as Python or Scala, along with certifications like Cloudera or AWS Big Data, is highly valuable. Strong leadership, problem-solving skills, and the ability to communicate complex insights clearly help you guide teams and influence stakeholders. These skills ensure effective management of large datasets, drive data-driven decision-making, and contribute to the organization's strategic goals.

What does a Big Data Analytics Lead do?

A Big Data Analytics Lead oversees the design, development, and implementation of large-scale data analytics projects within an organization. They manage teams of data engineers and analysts, ensuring that data is collected, processed, and analyzed effectively to support business goals. Their responsibilities often include developing analytics strategies, selecting appropriate technologies, and ensuring data quality and security. Additionally, they collaborate with other departments to translate business needs into actionable data insights and drive data-driven decision-making across the company.

How does a Big Data Analytics Lead typically collaborate with cross-functional teams to drive data-driven decision-making?

As a Big Data Analytics Lead, you will regularly work with cross-functional teams such as data engineers, data scientists, business analysts, and stakeholders from various departments. Your main responsibility is to bridge the gap between technical teams and business units, translating business requirements into analytical solutions. You’ll facilitate meetings to define project goals, prioritize tasks, and ensure data insights are aligned with organizational objectives. Strong communication and project management skills are essential, as you’ll often be responsible for presenting findings to non-technical audiences and guiding teams toward data-driven strategies.

What is the salary of Big Data Analytics Lead?

The salary for a Big Data Analytics Lead typically ranges from $100,000 to $160,000 annually, depending on experience, location, and industry. Senior roles with advanced skills in tools like Hadoop, Spark, and data modeling tend to be at the higher end of this range.

What is the role of a Big Data Analytics Lead?

A Big Data Analytics Lead is responsible for overseeing the development and implementation of data analysis strategies using large datasets. They manage data teams, work with tools like Hadoop or Spark, and translate complex data insights into actionable business decisions. Strong technical skills, leadership, and knowledge of data management are essential for this role.
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Infographic showing various Big Data Analytics Lead job openings in the United States as of August 2026, with employment types broken down into 88% Full Time, 9% Part Time, and 3% Contract. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution, with an average salary of $123,210 per year, or $59.2 per hour.

Data & Analytics Lead Architech

Berkshire Health Systems

Pittsfield, MA • On-site

$39.69/hr

Full-time

Re-posted 7 days ago


Berkshire Health Systems rating

8.2

Company rating: 8.2 out of 10

Based on 19 frontline employees who took The Breakroom Quiz


Job description

  • JOB SUMMARY
    • The Data & Analytics Architect is responsible for defining and managing the enterprise data architecture that enables scalable analytics, reporting, and AI across the organization. This role ensures our data ecosystem is integrated, governed, and aligned to business priorities, while supporting a federated (hub-and-spoke) operating model.
      This person partners closely with IT, clinical, operational, and finance leaders to translate business needs into a modern, sustainable data platform.
  • JOB REQUIREMENTS
    • Experience:
        • Proven experience as a Data Architect or similar role with extensive knowledge of *NoSQL*, *SQL*, *Hadoop*, *Spark*, *Oracle*, *Microsoft SQL Server*, and *Microsoft Fabric Data Lake
        • Experience in healthcare strongly preferred (EHR, claims, revenue cycle, etc.).
        • Strong expertise in *data modeling*, *database design*, *ETL processes*, and *data warehouse* architecture.
        • Direct experience working with cloud platforms such as *AWS* and *Azure* for deploying scalable data solutions.
        • Experience working within Agile development environments with a focus on analytics projects involving large datasets (*Big Data*) and distributed computing frameworks like *Hadoop*.
    • Education:
        • Bachelor's degree in computer science, data science, engineering, or related field.
    • Licensure & Certifications:
        • None.
  • SKILLS & ABILITIES
      • Familiarity with programming languages including *Java*, *Python*, and scripting with *Bash (Unix shell)*
      • Knowledge of linked data concepts and experience integrating diverse datasets for advanced analytics applications is a plus.
      • This position offers an engaging environment where innovative thinking is valued, and the successful candidate will play a pivotal role in shaping our organization's data strategy through advanced architecture solutions.
      • Familiarity with governance frameworks and federated data models.
      • Ability to translate business strategy into technical architecture.
      • Ability to guide solution design and architecture to meet business needs.
      • Strong stakeholder engagement (can work across clinical, operational, and IT teams).
      • Systems thinker-can connect data, workflows, and outcomes.
      • Pragmatic decision-maker (not over-engineering solutions).
  • WORKING RELATIONSHIPS
    • Title of position(s) supervised:
      • N/A.

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