data engineering manager

Binary Brix 

<p>Job Title: Senior Data Engineering Manager</p><p><b>Experience:</b> 5 to 6 + Years<br/><b>Location:</b> Onsite &ndash; Lahore / Hybrid / Remote<br/><b>Job Type:</b> Full-Time</p><p>About the Role</p><p>We are seeking a strategic and hands-on <b>Senior Data Engineering Manager</b> to lead our data engineering function. You will be responsible for building scalable data platforms, managing high-performing teams, and enabling data-driven decision-making across the organization.</p><p>Key Responsibilities-Leadership &amp; Strategy</p><ul><li>Define and execute the <b>data engineering roadmap and architecture</b>.</li><li>Lead, mentor, and manage a team of <b>data engineers and analytics engineers</b>.</li><li>Partner with stakeholders (Product, AI/ML, BI, Finance) to translate business needs into data solutions.</li><li>Establish best practices for <b>data governance, security, and compliance</b>.</li></ul><p>Technical Ownership</p><ul><li>Design and maintain <b>scalable data pipelines (ETL/ELT)</b>.</li><li>Build and optimize <b>data warehouses and lakes</b>.</li><li>Ensure data quality, reliability, and performance.</li><li>Oversee integration of multiple data sources (APIs, SaaS tools, transactional systems).</li><li>Implement <b>real-time and batch processing systems</b>.</li><li>Drive adoption of <b>cloud-native data platforms</b>.</li></ul><p>Operations &amp; Delivery</p><ul><li>Own delivery timelines, sprint planning, and resource allocation.</li><li>Review system designs and make architectural decisions.</li><li>Implement monitoring, alerting, and SLAs for data systems.</li><li>Manage budgets, tools, and vendor relationships.</li></ul><p>Required Skills &amp; Qualifications</p><ul><li>5 &ndash;6 + years of experience in <b>Data Engineering / Data Platforms</b>.</li><li>3&ndash;5+ years in <b>people management or technical leadership roles</b>.</li><li>Strong expertise in <b>Python / SQL / Spark</b>.</li><li>Deep experience with <b>cloud platforms (AWS, GCP, Azure)</b>.</li><li>Expertise in <b>data warehouses</b> (Snowflake, BigQuery, Redshift).</li><li>Experience with <b>orchestration tools</b> (Airflow, Prefect, Dagster).</li><li>Strong understanding of <b>data modeling, dimensional modeling, and analytics engineering</b>.</li><li>Experience with <b>streaming platforms</b> (Kafka, Kinesis).</li><li>Solid knowledge of <b>DevOps / CI/CD for data</b>.</li></ul><p>Nice to Have (Plus Points)</p><ul><li>Experience supporting <b>AI/ML pipelines</b>.</li><li>Familiarity with <b>DBT</b> and modern analytics stacks.</li><li>Experience in <b>fintech / SaaS / e-commerce</b> domains.</li><li>Knowledge of <b>data privacy regulations</b> (GDPR, SOC2).</li><li>MBA or advanced technical degree.</li></ul><p>What We Offer</p><ul><li>Leadership role in building a modern data organization.</li><li>Competitive executive-level compensation.</li><li>International projects and exposure.</li><li>Strong growth into <b>Head of Data / Chief Data Officer (CDO)</b>.</li><li>Flexible work environment</li></ul><p>Job Type: Full-time</p><p>Pay: Rs200,000.00 - Rs250,000.00 per month</p><p>Work Location: In person</p>

Senior Data Engineering Manager

Axos Bank

<div>Axos Bank<div></div><div>
Target Range:</div>
$145,000.00 /Yr. - $180,000.00 /Yr.<div>
Actual starting pay will vary based on factors including, but not limited to, geographic location, experience, skills, specialty, and education.</div><div></div>
Eligible for an Annual Discretionary Cash Bonus Target:<div></div>
Eligible for an Annual Discretionary Restricted Stock Units Bonus Target:<div></div><div><i>
These discretionary target bonuses may be awarded semi-annually based upon your achievement of performance goals and targets.</i></div><div></div><div>
About This Job</div>
Target Range:<br>
<br>
$145,000.00 /Yr. - $180,000.00 /Yr.<br>
Actual starting pay will vary based on factors including, but not limited to, geographic location, experience, skills, specialty, and education.<br>
<br>
Eligible for an Annual Discretionary Cash Bonus Target: 10%<br>
Eligible for an Annual Discretionary Restricted Stock Units Bonus Target: 10%<br>
<br>
The First Vice President of Data Engineering will be responsible for managing various key data implementations across the organization and providing people and technology leadership. The First Vice President will perform data architecture analysis, design, development and testing to deliver data applications, services, interfaces, ETL processes, reporting and other workflow and management initiatives. This role requires a highly motivated individual with strong leadership capability, technical ability, data capability, excellent communication, and collaboration skills including the ability to develop and troubleshoot a diverse range of problems.<br>
<br>
This role will be onsite and available at any of the posted locations to include:<br>
<br>
San Diego, CA<br>
Irvine, CA<br>
Los Angeles, CA<br>
Centennial, CO<br>
Las Vegas, NV<br>
Kansas City, MO<br>
Edison, NJ<br>
Omaha, NE<div></div><div>
Responsibilities:</div><ul><li>
Head the development and delivery of enterprise scale mission critical data platforms, i.e. Databricks Lakehouse, GCP services, to meet critical business priorities</li><li>
Establish the roadmap and vision for enterprise scale data engineering, executes on this roadmap to deliver shared frameworks for the broader enterprise application development teams</li><li>
Build technical excellence by defining and implementing robust data engineering standards and quality frameworks that govern data pipeline development, testing, and deployment across the data platform</li><li>
Establish, enforce, and champion modern DataOps and CI/CD practices within the team. Lead the automation of deployment, testing, and monitoring to accelerate delivery speed and ensure data quality</li><li>
Provides technical leadership and hands-on guidance to the Data Engineering team to ensure timely and high-quality project delivery and enhancements Mentor engineers in advanced PySpark, SQL, dbt, Fivetran and cloud-native development to maximize team output</li><li>
Collaborates with multiple teams, understands the overall enterprise Data Architecture, and develops the end-to-end solutions for data sourcing, data processing/integration, data provisioning and delivery</li><li>
Delivers projects to successful completion as defined by predetermined project success criteria including those established by the business, ensuring that projects are delivered on time and within budget</li><li>
Focus on designing and developing highly scalable, efficient, and reliable data infrastructure to scale and compute to meet business objectives</li><li>
Lead, coach, and develop team, while creating a vision for team and educating cross-functional teams on how to leverage data to identify opportunities to increase revenue and performance</li><li>
Drives IT solutions to ensure they meet business needs balanced with a pragmatic and integrated approach to the design of technical solutions</li><li>
Remains up to date on key technology, business, and industry trends</li><li>
Performs other duties and responsibilities as assigned</li></ul><div></div><div>
Requirements:</div><ul><li>
Bachelor&rsquo;s degree in computer science, MIS or related degree</li><li>
10+ years&rsquo; experience managing Data Engineering and leading Technology Teams</li><li>
7+ years&rsquo; working with SQL Server and other DB management systems with Cloud and on-PREM data ecosystems</li><li>
7+ years&rsquo; working with cloud-native data ecosystems (GCP, Azure, AWS) with deep experience in Cloud Data Warehouses (e.g., BigQuery, Snowflake, Databricks), exposure to various database types (SQL and NoSQL) and on-prem databases including SQL Server</li><li>
Expertise in Databricks and the Spark ecosystem, including designing and optimizing pipelines using PySpark, implementing the moder data architecture and strong hands-on experience</li><li>
Advanced level experience with Python and PySpark (for data processing), advanced SQL, and modern ELT/ETL tools (e.g., Fivetran and dbt).Strong experience with a breadth of Data Integration tools, Databases, Big Data Platforms, Cloud based data platforms and Data Streaming technologies</li><li>
Experience leading technical teams (e.g., Data Engineers, Tech Leads), including mentoring, project oversight, and setting technical direction</li><li>
Strong experience with breadth of Data Integration tools, Databases, Big Data Platforms, Cloud based data platforms and Data Streaming technologies</li><li>
 Expertise within Data Architecture and most importantly deep understanding of the overall Data in an enterprise and ability to understand Data in the context of Business goals</li><li>
Proficient in building from the ground up a modern next generation Lakehouse platform</li><li>
Experience in enterprise implementation, leadership experience, strategic planning, strong business acumen</li></ul><div></div><div>
Preferred:</div><ul><li>
Financial Services experience</li></ul><div></div><div>
Axos Employee Benefits May Include:</div><div><ul><li><div>
Medical, Dental, Vision, and Life Insurance</div></li><li><div>
Paid Sick Leave, 3 weeks&rsquo; Vacation, and Holidays (about 11 a year)</div></li><li><div>
HSA or FSA account and other voluntary benefits</div></li><li><div>
401(k) Retirement Saving Plan with Employer Match Program and 529 Savings Plan</div></li><li><div>
Employee Mortgage Loan Program and free access to an Axos Bank Account with Self-Directed Trading</div></li></ul></div><div></div><div>
About Axos</div><div></div><div>
Born digital-first, Axos delivers financial tools and services that allow individuals, small businesses, and companies to access and manage their money how, when, and where they want. We&rsquo;re a diverse team of dynamic, insightful, and independent innovators who are excited to provide technology-driven solutions that offer unbeatable value to our customers.</div><div></div><div>
Axos Financial is our holding company and is publicly traded on the New York Stock Exchange under the symbol &quot;AX&quot; (NYSE: AX).</div><div></div><div><div>
Learn more about working at Axos</div></div><div></div><div>
Pre-Employment Background Check and Drug Test:</div><div></div><div>
All offers are contingent upon the candidate successfully passing a credit check, criminal background check, and pre-employment drug screening, which includes screening for marijuana. Axos Bank is a federally regulated banking institution. At the federal level, marijuana is an illegal schedule 1 drug; therefore, we will not employ any person who tests positive for marijuana, regardless of state legalization.</div><div></div><div>
Equal Employment Opportunity:</div><div></div><div>
Axos is an Equal Opportunity employer. We are committed to providing equal employment opportunities to all employees and applicants without regard to race, religious creed, color, sex (including pregnancy, breast feeding and related medical conditions), gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship status, military and veteran status, marital status, age, protected medical condition, genetic information, physical disability, mental disability, or any other protected status in accordance with all applicable federal, state, and local laws.</div><div></div><div>
Job Functions and Work Environment:</div><div></div><div>
While performing the duties of this position, the employee is required to sit for extended periods of time. Manual dexterity and coordination are required while operating standard office equipment such as computer keyboard and mouse, calculator, telephone, copiers, etc.</div><div></div><div>
The work environment characteristics described here are representative of those an employee may encounter while performing the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of this position.</div></div>

Enterprise Data Engineering Manager - FVP

SDG Group

<p></p><div><h3 class="jobSectionHeader"><b>Engagement Leadership &amp; Delivery Management</b></h3><ul><li><p>
Lead end-to-end delivery of <b>Snowflake Data &amp; Analytics engineering engagements</b>, from discovery and solution design through implementation and transition to operations</p></li><li><p>
Own engagement governance including scope management, delivery planning, risk and issue management, and financial oversight</p></li><li><p>
Ensure delivery outcomes meet contractual obligations, quality standards, and client expectations</p></li><li><p>
Act as the primary escalation point for engagement-level delivery and technical challenges</p></li></ul><h3 class="jobSectionHeader"><b>
Solution Architecture &amp; Advisory</b></h3><ul><li><p>
Serve as the Snowflake solution authority across assigned engagements</p></li><li><p>
Lead architecture definition, design reviews, and technical governance for Snowflake implementations</p></li><li><p>
Advise clients on modern data platform strategies, analytics architectures, and Snowflake adoption best practices</p></li><li><p>
Define, maintain, and enforce Snowflake delivery standards, reference architectures, and methodologies</p></li></ul><div><h2 class="jobSectionHeader"><b>
Required Qualifications</b></h2><h3 class="jobSectionHeader"><b>
Education</b></h3><ul><li><p>
 Bachelor&rsquo;s degree in Computer Science, Engineering or a related discipline</p></li><li><p>
Master&rsquo;s degree is preferred</p></li></ul><h3 class="jobSectionHeader"><b>
Professional Experience</b></h3><ul><li><p><b>
8+ years</b> of experience in data engineering, analytics engineering, or data platform delivery.</p></li><li><p><b>
3+ years</b> of hands-on experience delivering Snowflake implementations in enterprise environments.</p></li><li><p>
Proven experience leading <b>consulting engagements</b> within a system integrator, advisory firm, or Big environment</p></li><li><p>
Demonstrated experience managing multiple workstreams, teams, and client stakeholders</p></li></ul><h3 class="jobSectionHeader"><b>
Technical Competencies</b></h3><ul><li><p>
Strong expertise in Snowflake architecture, performance tuning, and cost optimization</p></li><li><p>
Advanced SQL and strong understanding of data warehousing and analytics modeling techniques</p></li><li><p>
Experience with ELT/ETL frameworks and tools (e.g., dbt, Informatica, Matillion, Fivetran, Airflow)</p></li><li><p>
Experience integrating Snowflake with BI and analytics platforms (e.g., Power BI, Tableau, Looker, SAP Analytics)</p></li><li><p>
Experience working with cloud platforms (AWS, Azure, or GCP)</p></li><li><p>
Familiarity with CI/CD, DevOps, data governance, and security best practices</p></li></ul><h3 class="jobSectionHeader"><b>
Leadership &amp; Consulting Skills</b></h3><ul><li><p>
Proven ability to lead, mentor, and develop high-performing consulting teams</p></li><li><p>
Strong client-facing, communication, and executive presentation skills</p></li><li><p>
Demonstrated ability to translate business requirements into scalable analytics solutions</p></li><li><p>
Strong problem-solving, decision-making, and stakeholder management capabilities</p></li></ul><h3 class="jobSectionHeader"><b>
Certifications (Preferred)</b></h3><ul><li><p>
Snowflake SnowPro certifications</p></li><li><p>
Relevant cloud or data platform certifications</p></li></ul></div></div><p></p>

Snowflake Data & Analytics Engineering Manager

Greenway Health

<div><b>You Belong at Greenway</b>
<p>
Bring your best and truest self. We celebrate what makes us different and what brings us all together. At Greenway Health, we are committed to an inclusive environment and a culture of belonging as we pursue our purpose of healthier communities, successful providers, and empowered patients. We are united in our goal to build the future of healthcare technology. Join us.</p>
<p>Job Description</p>
<div>
<div><div><div><p>Job Title</p><br>
</div><div><p>Manager, Product Development &ndash; Data Engineering/AWS/AI</p><br>
</div><div><p>Date</p><br>
</div><div><p>2/02/2026</p><br>
</div></div><br>
<div><div><p>Reports To</p><br>
</div><div><p>VP, Product Development</p><br>
</div><div><p>EEO Category</p><br>
</div><div><p>First/Mid Offs &amp; Mgrs.</p><br>
</div></div><br>
<div><div><h2 class="jobSectionHeader"><b>Organization</b></h2><br>
</div><div><p>Product Development</p><br>
</div><div><p>FLSA</p><br>
</div><div><p>Exempt</p><br>
</div></div><br>
</div></div><p></p><h1 class="jobSectionHeader"><b>Job Summary</b></h1>
<h1 class="jobSectionHeader"><b>The Engineering Manager, Data Lakehouse &amp; AI Engineering is responsible for leading the architecture, technical design, engineering execution, and operational excellence of Greenway&rsquo;s AWS-based Data Lakehouse platform.</b></h1>
<h1 class="jobSectionHeader"><b>This role provides technical leadership across multiple scrum pods (2&ndash;4 teams of 4&ndash;5 engineers each) and establishes engineering best practices across all phases of the software development life cycle. The incumbent will drive high-quality, scalable, secure, and cost-efficient data solutions while leveraging AI-powered engineering tools to improve productivity, automation, and code quality.</b></h1>
<h1 class="jobSectionHeader"><b>This position combines deep technical expertise with strong people leadership, stakeholder management, and strategic vision to ensure alignment between engineering execution and business objectives.</b></h1>
<h1 class="jobSectionHeader"><b>Essential Duties &amp; Responsibilities</b></h1>
<ul><li>Provide architectural leadership and technical oversight for the AWS-based Data Lakehouse platform, ensuring scalability, security, reliability, and cost optimization.</li></ul>
<ul><li>Develop and enhance architectural design frameworks to ensure high-quality, compliance, and performant data systems aligned with business objectives.</li></ul>
<ul><li>Lead technical design reviews, architecture reviews, and code quality initiatives (Gerrit-based workflows).</li></ul>
<ul><li>Establish and enforce best practices across:</li></ul>
<p>
Infrastructure as Code (Terraform)</p>
<p>
CI/CD pipelines</p>
<p>
Automated testing and quality engineering</p>
<p>
Data governance and security standards</p>
<p>
Non-Functional Requirements (NFRs): scalability, availability, resiliency, observability, and performance</p>
<ul><li>Ensure effective deployment of AWS technologies including but not limited to S3, Glue, EMR, Redshift, Athena, Lambda, ECS/EKS, IAM, VPC, CloudWatch, and relevant AI services such as Bedrock and SageMaker.</li></ul>
<ul><li>Drive AI-assisted engineering practices using tools such as GitHub Copilot, Claude, ChatGPT, MCP, and other emerging technologies to improve development efficiency, automation, and documentation quality.</li></ul>
<ul><li>Implement guardrails and governance for responsible AI usage within engineering teams.</li></ul>
<ul><li>Provide leadership, vision, and strategy to ensure daily operations of development teams align with both present and long-term business goals.</li></ul>
<ul><li>Manage technically focused scrum teams across multiple locations, ensuring predictable and high-quality delivery.</li></ul>
<ul><li>Partner closely with Product, Analytics, Data Science, Security, and business stakeholders to translate requirements into scalable technical solutions.</li></ul>
<ul><li>Drive cloud cost optimization and efficiency initiatives (FinOps mindset).</li></ul>
<ul><li>Mentor, coach, and develop engineering talent; build succession plans and foster a high-performance culture.</li></ul><br>
<p></p>
<h2 class="jobSectionHeader"><b>
Experience</b></h2>
<ul><li>Minimum 10 years of progressive experience in software or data engineering.</li></ul>
<ul><li>3&ndash;5+ years of experience leading engineering teams in a managerial capacity.</li></ul>
<ul><li>Proven experience designing and implementing Data Lakehouse architecture on AWS.</li></ul>
<ul><li>Experience managing multiple scrum teams (2&ndash;4 pods preferred).</li></ul>
<ul><li>Experience driving technical strategy and engineering standards across distributed teams.</li></ul>
<h2 class="jobSectionHeader"><b>
Education</b></h2>
<ul><li>Bachelor&rsquo;s degree in computer science or related field required.</li></ul>
<ul><li>Master&rsquo;s Degree preferred</li></ul>
<h2 class="jobSectionHeader"><b>
Minimum Qualifications</b></h2>
<ul><li>Strong understanding of distributed systems and large-scale data platforms &amp; data Lakehouse architecture.</li></ul>
<ul><li>Deep experience with AWS cloud architecture and services.</li></ul>
<ul><li>Strong hands-on experience with Infrastructure as Code (Terraform).</li></ul>
<ul><li>Experience with Gerrit or comparable enterprise code review systems.</li></ul>
<ul><li>Strong understanding of distributed systems and large-scale data platforms.</li></ul>
<ul><li>Experience implementing CI/CD, automated testing, and DevOps best practices.</li></ul>
<ul><li>Demonstrated ability to define and enforce NFRs across enterprise systems.</li></ul>
<ul><li>Experience driving engineering productivity improvements through AI tools.</li></ul>
<ul><li>Strong stakeholder management and executive communication skills.</li></ul><br>
<p></p>
<p>
Skills/Knowledge</p><br>
<p></p>
<ul><li>Strategic thinker and proven leader with strong communication and collaboration skills.</li></ul>
<ul><li>Strong technical depth in:</li></ul>
<p>
o Data Lakehouse technologies (e.g., Delta Lake, Iceberg, Hudi)</p>
<p>
o ETL/ELT pipelines</p>
<p>
o Streaming frameworks (Kafka/Kinesis)</p>
<p>
o Data modeling and governance</p>
<ul><li>Experience with cloud architecture and DevOps practices.</li></ul>
<ul><li>Understanding of AI concepts including LLMs, Agentic AI, and RAG.</li></ul>
<ul><li>Experience using AI-assisted development tools such as GitHub Copilot, Claude, ChatGPT, MCP.</li></ul>
<ul><li>Experience with AWS AI services (e.g., Bedrock, SageMaker) preferred.</li></ul>
<ul><li>Ability to determine clear prioritization and manage trade-offs across roadmap, resources, and delivery timelines.</li></ul>
<ul><li>Strong people management skills with demonstrated ability to mentor and grow high-performing engineering teams in a fast-paced environment.</li></ul>
<ul><li>Strong executive presence and ability to communicate complex technical concepts to non-technical stakeholders.</li></ul>
<ul><li>DevOps.</li></ul>
<p>
o Understanding of AI concepts like LLMs, Agentic AI, RAG</p>
<p>
o Experience using tools like GitHub Copilot</p>
<p>
o Experience with AWS Bedrock
</p><h1 class="jobSectionHeader"><b>Work Environment/Physical Demands</b></h1>
<ul><li>Office environment</li></ul>
<ul><li>Ability to use a computer, phone, and other office equipment</li></ul>
<ul><li>Ability to sit, stand, or walk for long periods of time</li></ul>
<ul><li>Ability for travel as needed</li></ul><br>
<p></p>
<div><b>Important Notice Regarding Recruiting Practices</b><br>
<br>
Greenway Health does not accept unsolicited agency or third-party recruiter submissions unless the agency has been formally authorized in writing by Greenway Health. Any resumes or candidate information submitted without prior authorization will not be considered.
<br>
<br>
In addition, Greenway Health will never request personal financial information, payment of any kind, or sensitive data (such as Social Security numbers or bank details) during the application or interview process. If you are contacted by anyone claiming to represent Greenway Health and they request money, personal information, or anything unusual, please treat the communication as suspicious and report it immediately to Recruiting@greenwayhealth.com.<br>
<br>
<b><i>Greenway Health is committed to maintaining a secure, transparent, and trustworthy hiring process.</i></b>
</div>Job Description<br>
<br>
Job Title<br>
<br>
Manager, Product Development &ndash; Data Engineering/AWS/AI<br>
<br>
Date<br>
<br>
2/02/2026<br>
<br>
Reports To<br>
<br>
VP, Product Development<br>
<br>
EEO Category<br>
<br>
First/Mid Offs &amp; Mgrs.<br>
<br>
Organization<br>
Product Development<br>
<br>
FLSA<br>
<br>
Exempt<br>
<br>
<br>
Job Summary<br>
The Engineering Manager, Data Lakehouse &amp; AI Engineering is responsible for leading the architecture, technical design, engineering execution, and operational excellence of Greenway&rsquo;s AWS-based Data Lakehouse platform.<br>
This role provides technical leadership across multiple scrum pods (2&ndash;4 teams of 4&ndash;5 engineers each) and establishes engineering best practices across all phases of the software development life cycle. The incumbent will drive high-quality, scalable, secure, and cost-efficient data solutions while leveraging AI-powered engineering tools to improve productivity, automation, and code quality.<br>
This position combines deep technical expertise with strong people leadership, stakeholder management, and strategic vision to ensure alignment between engineering execution and business objectives.<br>
Essential Duties &amp; Responsibilities<br>
<ul><li>Provide architectural leadership and technical oversight for the AWS-based Data Lakehouse platform, ensuring scalability, security, reliability, and cost optimization.</li></ul>
<br>
<ul><li>Develop and enhance architectural design frameworks to ensure high-quality, compliance, and performant data systems aligned with business objectives.</li></ul>
<br>
<ul><li>Lead technical design reviews, architecture reviews, and code quality initiatives (Gerrit-based workflows).</li></ul>
<br>
<ul><li>Establish and enforce best practices across:</li></ul>
<br>
Infrastructure as Code (Terraform)<br>
<br>
CI/CD pipelines<br>
<br>
Automated testing and quality engineering<br>
<br>
Data governance and security standards<br>
<br>
Non-Functional Requirements (NFRs): scalability, availability, resiliency, observability, and performance<br>
<br>
<ul><li>Ensure effective deployment of AWS technologies including but not limited to S3, Glue, EMR, Redshift, Athena, Lambda, ECS/EKS, IAM, VPC, CloudWatch, and relevant AI services such as Bedrock and SageMaker.</li></ul>
<br>
<ul><li>Drive AI-assisted engineering practices using tools such as GitHub Copilot, Claude, ChatGPT, MCP, and other emerging technologies to improve development efficiency, automation, and documentation quality.</li></ul>
<br>
<ul><li>Implement guardrails and governance for responsible AI usage within engineering teams.</li></ul>
<br>
<ul><li>Provide leadership, vision, and strategy to ensure daily operations of development teams align with both present and long-term business goals.</li></ul>
<br>
<ul><li>Manage technically focused scrum teams across multiple locations, ensuring predictable and high-quality delivery.</li></ul>
<br>
<ul><li>Partner closely with Product, Analytics, Data Science, Security, and business stakeholders to translate requirements into scalable technical solutions.</li></ul>
<br>
<ul><li>Drive cloud cost optimization and efficiency initiatives (FinOps mindset).</li></ul>
<br>
<ul><li>Mentor, coach, and develop engineering talent; build succession plans and foster a high-performance culture.</li></ul><br>
<br>
<br>
<br>
Experience<br>
<ul><li>Minimum 10 years of progressive experience in software or data engineering.</li></ul>
<br>
<ul><li>3&ndash;5+ years of experience leading engineering teams in a managerial capacity.</li></ul>
<br>
<ul><li>Proven experience designing and implementing Data Lakehouse architecture on AWS.</li></ul>
<br>
<ul><li>Experience managing multiple scrum teams (2&ndash;4 pods preferred).</li></ul>
<br>
<ul><li>Experience driving technical strategy and engineering standards across distributed teams.</li></ul>
<br>
Education<br>
<ul><li>Bachelor&rsquo;s degree in computer science or related field required.</li></ul>
<br>
<ul><li>Master&rsquo;s Degree preferred</li></ul>
<br>
Minimum Qualifications<br>
<ul><li>Strong understanding of distributed systems and large-scale data platforms &amp; data Lakehouse architecture.</li></ul>
<br>
<ul><li>Deep experience with AWS cloud architecture and services.</li></ul>
<br>
<ul><li>Strong hands-on experience with Infrastructure as Code (Terraform).</li></ul>
<br>
<ul><li>Experience with Gerrit or comparable enterprise code review systems.</li></ul>
<br>
<ul><li>Strong understanding of distributed systems and large-scale data platforms.</li></ul>
<br>
<ul><li>Experience implementing CI/CD, automated testing, and DevOps best practices.</li></ul>
<br>
<ul><li>Demonstrated ability to define and enforce NFRs across enterprise systems.</li></ul>
<br>
<ul><li>Experience driving engineering productivity improvements through AI tools.</li></ul>
<br>
<ul><li>Strong stakeholder management and executive communication skills.</li></ul><br>
<br>
<br>
Skills/Knowledge<br>
<br>
<br>
<ul><li>Strategic thinker and proven leader with strong communication and collaboration skills.</li></ul>
<br>
<ul><li>Strong technical depth in:</li></ul>
<br>
o Data Lakehouse technologies (e.g., Delta Lake, Iceberg, Hudi)<br>
<br>
o ETL/ELT pipelines<br>
<br>
o Streaming frameworks (Kafka/Kinesis)<br>
<br>
o Data modeling and governance<br>
<br>
<ul><li>Experience with cloud architecture and DevOps practices.</li></ul>
<br>
<ul><li>Understanding of AI concepts including LLMs, Agentic AI, and RAG.</li></ul>
<br>
<ul><li>Experience using AI-assisted development tools such as GitHub Copilot, Claude, ChatGPT, MCP.</li></ul>
<br>
<ul><li>Experience with AWS AI services (e.g., Bedrock, SageMaker) preferred.</li></ul>
<br>
<ul><li>Ability to determine clear prioritization and manage trade-offs across roadmap, resources, and delivery timelines.</li></ul>
<br>
<ul><li>Strong people management skills with demonstrated ability to mentor and grow high-performing engineering teams in a fast-paced environment.</li></ul>
<br>
<ul><li>Strong executive presence and ability to communicate complex technical concepts to non-technical stakeholders.</li></ul>
<br>
<ul><li>DevOps.</li></ul>
<br>
o Understanding of AI concepts like LLMs, Agentic AI, RAG<br>
<br>
o Experience using tools like GitHub Copilot<br>
<br>
o Experience with AWS Bedrock<br>
<br>
Work Environment/Physical Demands<br>
<ul><li>Office environment</li></ul>
<br>
<ul><li>Ability to use a computer, phone, and other office equipment</li></ul>
<br>
<ul><li>Ability to sit, stand, or walk for long periods of time</li></ul>
<br>
<ul><li>Ability for travel as needed</li></ul><br>
<br>
<br>
Text Box: Disclaimer: This Job Summary indicates the general nature and level of work expected of the incumbent(s). It is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities required of the incumbent. Incumbent(s) may be asked to perform other duties as requested. Greenway Health, LLC is an Equal Opportunity Employer. We do not discriminate based on race, religion, age, gender, national origin, sexual orientation, disability, or veteran status.</div>

Manager, Product Development - Data Engineering/AWS/AI

Risant Health

<div><b>Company Description</b><p><br>
Risant Health, a nonprofit affiliate of Kaiser Foundation Hospitals, is transforming healthcare by accelerating the adoption of value-based care across community health systems. Headquartered in the Washington, DC area, Risant Health partners with nonprofit, community-based systems&mdash;starting with Geisinger&mdash;to expand access to care that prioritizes health outcomes and affordability.</p><p>
Backed by nearly 80 years of Kaiser Permanente&rsquo;s value-based care expertise, Risant Health operates independently to support its portfolio of health systems with shared resources, strategic guidance, and operational support&mdash;while preserving their community roots.</p><b><br>
Job Description</b><p><br>
The Data &amp; Analytics (D&amp;A) team delivers strategic insights, analytics products, and decision-support capabilities across Risant Health, Risant Health&rsquo;s Value-Based Platform (VBP) and Risant Health Organizations (RHOs), and Kaiser Permanente (KP). Through four key pillars&mdash;Risant Strategic Analytics, VBP/Solution Intelligence, RHO Support &amp; Enablement, and Foundational Capabilities&mdash;the team translates data into actionable intelligence that drives clinical quality improvement, total cost of care reduction, better experiences for members and clinicians, and health equity.</p><p>
The Analytics Program Manager for Foundational Platform owns the business requirements, product strategy, and delivery coordination for Risant's core data and analytics infrastructure (part of D&amp;A&rsquo;s Foundational Capabilities pillar). This role bridges business needs and technical execution, ensuring the platform delivers scalable, high-quality data and analytic capabilities that enable operations and strategic analytics across D&amp;A pillars. The Analytics Program Manager for Foundational Platform will ensure immediate needs are served through interim platform capabilities while pursuing the long-term architecture vision that is needed for Risant.</p><p><b>
Job Responsibilities</b></p><p><b>
Technical Program Management &amp; Roadmap Planning:</b> Coordinate delivery for the Foundational Platform build, balancing across interim solution build and long-term platform implementation. Working closely with Risant Technology and business partners, define and maintain a roadmap with tracked dependencies and release schedule that consists of sprints that combine data, analytic and technology outputs that cumulatively deliver business value.</p><p><b>
Business &amp; Requirements Ownership:</b> Partner closely with business teams to drive alignment between strategic goals and execution scope. Own business requirements gathering and documentation for the platform, including for member/patient master data management (MDM), provider MDM/hierarchy, and other core data models. Translate business needs from analytics pods, RHOs and other stakeholders into requirements for Architecture &amp; Engineering teams and coordinate with those teams on technical designs to ensure capabilities meet business requirements and scalability needs. Lead acceptance testing (UAT and BAT) for all releases.</p><p><b>
Standards Definition and Governance:</b> Establish and govern source data onboarding process, metric definitions, calculation / methodology logic, and data quality standards. Document and maintain data contracts between Risant, RHOs and third-party vendors as needed.</p><p><b>
Vendor &amp; Partner Coordination:</b> Co-manage (with Risant Technology) third-party vendors and partners as needed, identifying co-development activities and ensuring performance expectations and service levels are met.</p><p><b>
Budget and Investment Oversight:</b> Partner with D&amp;A Portfolio Lead and Risant Technology partners to prioritize platform investments against competing analytics delivery needs. Support budget planning and vendor procurement processes for platform tools, technologies, and services.</p><p><b>
Risk &amp; Change Management:</b> Proactively identify, assess, and mitigate program risks and issues, escalating when necessary. Drive platform adoption across analytic pods and other Risant stakeholders through robust change management that includes stakeholder communications, training and cutover planning.</p><p><b>
Platform Performance Monitoring:</b> Establish and monitor platform KPIs including data quality metrics (e.g. accuracy, completeness), system performance (e.g. uptimes, usability, query speed), user adoption / satisfaction and cost efficiency. Provide executive reporting as needed.</p><p><b>
Stakeholder Engagement &amp; Communication:</b> Build and maintain strong relationships with internal teams, external partners, and senior leadership to ensure alignment, buy-in, and engagement throughout the platform delivery lifecycle.</p><b><br>
Qualifications</b><p><b><br>
Required Qualifications</b></p><p><b>
Education:</b></p><ul><li>
Bachelor&rsquo;s degree in Computer Science, Information Systems, Engineering, Data Science or related field</li></ul><p><b>
Experience:</b></p><ul><li>
Seven (7) years in technical program management, data engineering, or analytics platform delivery</li><li>
Five (5) years working with enterprise data platforms, data warehouses, or analytics infrastructure</li><li>
Three (3) years in healthcare data environments with exposure to claims, clinical, and operational data sources (incl. third parties)</li><li>
Experience with modern data platforms (Snowflake, Databricks, BigQuery)</li><li>
Experience with BI platforms (Tableau, Power BI, Qlik) and their architecture requirements</li><li>
Familiarity with healthcare data standards (HL7, FHIR, X12) &amp; standard sources (incl. EHRs)</li><li>
Understanding of MDM solutions, data quality tools, and metadata management</li></ul><p><b>
Supervisory/Management Experience:</b></p><ul><li>
Five (5) years demonstrated ability to lead technical teams, coordinate across business and engineering functions, and influence senior stakeholders without explicit authority.</li></ul><p><b>
Education Preferred:</b></p><ul><li>
Master&rsquo;s degree in Data Science/Analytics, Information Systems or a related discipline.</li></ul><p><b>
Certification and/or Licensure Preferred:</b></p><ul><li>
PMI Project Management Professional (PMP)</li><li>
PMI Program Management Professional (PgMP)</li><li>
Certified Scrum Product Owner (CSPO)</li><li>
Certified Scrum Master (CSM)</li><li>
SAFe Scrum Master (SSM)</li><li>
SAFe Product Owner / Manager (POPM)</li><li>
SAFe Agile Product Manager (APM)</li><li>
SAFe Practice Consultant (SPC)</li><li>
Cloud platform certifications (AWS, Azure, GCP)</li><li>
Data Governance certifications (CDMP, DGSP, ADGP)</li></ul><p><b>
Technical Competencies Preferred:</b></p><ul><li>
Working knowledge of both Agile and traditional project management approaches, with ability to adapt to needs</li><li>
Change management expertise to drive adoption of new portfolio processes and governance structures</li><li>
Familiarity with project management and collaboration tools (e.g., Jira, Smartsheet, Confluence, MS Project)</li><li>
Proficiency in Microsoft Office Suite (e.g., Excel, PowerPoint, PowerBI) for reporting and presentations</li></ul><p><b>
This hybrid role requires working onsite up to two days per week in either our Washington, DC or Renton, WA office. Bi‑monthly travel is also required.</b></p><b><br>
Additional Information</b><p><b><br>
Compensation and Benefits: </b>The projected base salary for this position ranges from $130,000 to $171,600 and depends on experience and qualifications. This role is also eligible for incentive compensation and a comprehensive benefits package, including wellness programs, retirement savings, and relocation support as applicable.</p><p><b>
Join us! </b>If you are passionate about improving healthcare through innovative solutions and want to make a meaningful impact, we encourage you to apply. Risant Health is an equal opportunity employer committed to creating a diverse and inclusive workplace. We welcome applicants from all backgrounds and experiences. All your information will be kept confidential according to EEO guidelines.</p></div>

Analytics Program Manager - Foundational Platform

ibex. Pakistan

<div>
 <p>
  <strong>
   Role Overview
  </strong>
 </p>
 <p>
  We are seeking an experienced
  <strong>
   Manager &ndash; Data Engineering
  </strong>
  to lead the design, automation, governance, and optimization of enterprise data pipelines and modern data warehouse solutions. The ideal candidate will have strong expertise in ETL modernization, Snowflake environments, data quality controls, vendor integrations, and stakeholder collaboration to support executive reporting and business intelligence.
 </p>
 <p>
  This role requires both
  <strong>
   hands-on technical capability
  </strong>
  and
  <strong>
   team leadership
  </strong>
  , ensuring scalable, reliable, and governed data ecosystems.
 </p>
 <p>
  <strong>
   Key Responsibilities
  </strong>
 </p>
 <p>
  <strong>
   1. Data Architecture &amp; ETL Modernization
  </strong>
 </p>
 <ul>
  <li>
   Lead the transition from manual or legacy data processes to automated, scalable ETL frameworks.
  </li>
  <li>
   Design, build, and maintain robust ingestion pipelines using tools such as Informatica.
  </li>
  <li>
   Migrate and centralize transformation workflows to improve processing efficiency, scalability, and maintainability.
  </li>
  <li>
   Architect structured staging and transformation layers within Snowflake data warehouses.
  </li>
 </ul>
 <p>
  <strong>
   2. Data Ingestion &amp; Integration
  </strong>
 </p>
 <ul>
  <li>
   Manage end-to-end ingestion of financial and operational datasets from internal systems and vendor-hosted SFTP environments.
  </li>
  <li>
   Develop automated ingestion frameworks with post-load validation and structured data quality checks.
  </li>
  <li>
   Ensure reliable, secure, and governed data integration across multiple sources.
  </li>
 </ul>
 <p>
  <strong>
   3. Data Quality, Governance &amp; Monitoring
  </strong>
 </p>
 <ul>
  <li>
   Implement data validation frameworks, KPI monitoring, and anomaly detection mechanisms.
  </li>
  <li>
   Reduce vendor-related data incidents through proactive monitoring and root cause analysis.
  </li>
  <li>
   Establish best practices for data governance, documentation, and compliance.
  </li>
  <li>
   Maintain data integrity before downstream reporting and dashboard consumption.
  </li>
 </ul>
 <p>
  <strong>
   4. Business Intelligence &amp; Stakeholder Collaboration
  </strong>
 </p>
 <ul>
  <li>
   Partner with business stakeholders to ensure accurate executive reporting and evolving KPI alignment.
  </li>
  <li>
   Support and enhance Tableau dashboards by refining calculations, updating data models, and maintaining reporting logic.
  </li>
  <li>
   Act as the primary liaison between business users, vendors, and technical teams to resolve discrepancies and production issues.
  </li>
 </ul>
 <p>
  <strong>
   5. Leadership &amp; Team Development
  </strong>
 </p>
 <ul>
  <li>
   Mentor and guide data engineers on ETL best practices, automation, and data quality standards.
  </li>
  <li>
   Drive continuous improvement initiatives across data engineering processes.
  </li>
  <li>
   Promote scalable design patterns and performance optimization strategies.
  </li>
 </ul>
 <p>
  <strong>
   Required Skills &amp; Experience
  </strong>
 </p>
 <ul>
  <li>
   5+ years of experience in Data Engineering or related roles.
  </li>
  <li>
   Proven experience with:
  </li>
  <li>
   <strong>
    Snowflake
   </strong>
   data warehouse environments
  </li>
  <li>
   <strong>
    Informatica
   </strong>
   (or similar ETL tools)
  </li>
  <li>
   SQL (advanced querying &amp; performance optimization)
  </li>
  <li>
   Data modelling &amp; data warehousing concepts
  </li>
  <li>
   SFTP-based data integrations
  </li>
  <li>
   Experience migrating legacy transformation tools (e.g., Alteryx) to centralized ETL platforms.
  </li>
  <li>
   Strong understanding of data governance, validation frameworks, and quality controls.
  </li>
  <li>
   Experience supporting BI tools such as Tableau.
  </li>
  <li>
   Proficiency in Python for data processing and automation.
  </li>
  <li>
   Experience working with ERP and CRM data sources is preferred.
  </li>
  <li>
   Exposure to Databricks or modern data lake architectures is a plus.
  </li>
 </ul>
 <p>
  <strong>
   Education
  </strong>
 </p>
 <ul>
  <li>
   Bachelor&rsquo;s degree in Computer Science, Data Science, or related field (Master&rsquo;s preferred).
  </li>
 </ul>
 <p>
 </p>
</div>


Data Engineer

Medifast

<div><p><b>I. Job Summary<br>
</b><br>
</p><p><b>Overview of Position
</b></p><p>The Manager, Data Engineering is a pivotal leadership role responsible for the architecture, design, and delivery of Medifast&rsquo;s enterprise data ecosystem. This individual leads a high-performing team to build scalable data pipelines and cloud-based infrastructure (AWS) that power business insights, advanced analytics, and ML/AI initiatives. Acting as a bridge between complex technical architecture and strategic business needs, the Manager ensures that data platforms are reliable, secure, and accessible, while fostering operational excellence and mentoring senior technical talent.
</p><p></p><div><b>Opportunity Highlights
</b><br>
<ul><li>Lead high-impact data engineering and integration initiatives supporting enterprise analytics and business insights
</li><li>Provide technical and people leadership within a modern, cloud-based data platform environment
</li><li>Drive architecture, delivery, and operational excellence for scalable, reliable data solutions
</li><li>Partner with cross-functional stakeholders to translate business needs into production-ready data platforms
</li><li>Evaluate and introduce new data technologies to improve performance, reliability, and cost efficiency
</li><li>Champion the 'Simplifying' value by reducing architectural complexity and improving data accessibility across the enterprise.
</li></ul></div><p></p><div><b>II. Job Responsibilities
</b><br>
<br>
Technical Leadership &amp; Solution Delivery
<br>
<ul><li>Translate defined business and analytics requirements into scalable, reliable, and high-performance data engineering and integration solutions.
</li><li>Provide technical and architectural leadership to ensure data platforms meet established performance, availability, security, and compliance standards.
</li><li>Provide hands-on technical guidance and support for complex data engineering issues as required.
</li><li>Accountable for the architecture, design, delivery, and support of systems integration, data warehouse, business insights, and ML/AI use cases.
</li></ul>Stakeholder &amp; Requirements Management
<br>
<ul><li>Partner with cross-functional stakeholders to translate business needs into production-ready data platforms.
</li><li>Plan and oversee delivery of data engineering initiatives, including effort estimation, prioritization, vendor coordination, and issue escalation.
</li><li>Ensure data integration services are reliable, secure, scalable, and fit for purpose.
</li></ul></div><div>People Management &amp; Leadership
<br>
<ul><li>Manage assigned data engineering staff, including work allocation, performance evaluations, coaching, and merit-based compensation recommendations.
</li><li>Lead agile delivery execution and support continuous improvement of data engineering processes, platforms, and practices.
</li><li>Foster a culture of technical excellence and professional growth within the data engineering team.
</li></ul>Operational Excellence &amp; Support
<br>
<ul><li>Ensure operational support and stability through established monitoring, logging, alerting, incident management, and 24x7 support processes.
</li><li>Ensure adherence to change management, release, and deployment standards to minimize operational risk and service disruption.
</li><li>Identify and implement technology initiatives to improve platform reliability, scalability, and cost efficiency.
</li></ul>Continuous Improvement &amp; Innovation
<br>
<ul><li>Evaluate and introduce new data technologies to improve performance, reliability, and cost efficiency.
</li><li>Champion the 'Simplifying' value by reducing architectural complexity and improving data accessibility across the enterprise.<br>
</li></ul></div><p><b>III. Scope
</b></p><p>Under the guidance of leadership, the role leads and/or participates in multiple concurrent data and analytics initiatives. The position partners closely with business stakeholders to manage reporting and business-insights requirements across functions.
<br>
<br>
The role establishes team priorities, ensures efficient and high-quality delivery, and manages stakeholder expectations. Scope of responsibility includes coordinating cross-functional and geographically distributed resources, overseeing vendor partners, and ensuring adherence to delivery timelines, service reliability, and established standards and processes.
<br>
<br>
The role directly manages a small team of senior technical resources across data engineering, business intelligence engineering, and software engineering focused on data platform capabilities.
<br>
<br>
The position also conducts performance reviews for assigned team members and provides input and recommendations related to merit-based compensation adjustments, in alignment with company guidelines and leadership direction.
<br>
<br>
<b>IV. Knowledge, Education, Skills &amp; Abilities
</b></p><ul><li>Bachelor&rsquo;s degree in Computer Science, Information Systems, Engineering, or closely related field is required; Master&rsquo;s degree preferred
</li><li>5 -7 years in data engineering with demonstrable experience in data integration and data warehouse projects
</li><li>3+ years of strong programming experience using Python and/or Java.
</li><li>2+ years&rsquo; experience leading data engineering teams using ETL/ELT tools and platforms such as Informatica, AWS Lambda, SSIS, AWS Glue, and/or similar cloud-native integration frameworks
</li><li>5+ years&rsquo; experience with DBMS such as Oracle, SQL Server, MySQL, etc.
</li><li>3+ years of AWS experience with services such as Amazon Redshift, AWS SQS, etc.
</li><li>Experience implementing data quality, monitoring, logging, and alerting practices for data pipelines in production environments
</li><li>Demonstrated ability to communicate complex technical concepts to business and technical stakeholders and translate requirements into scalable solutions
</li><li>Excellent analytical, problem-solving, and conceptual thinking skills
</li><li>Retail/CPG industry experience preferred<br>
</li></ul><p><b>At Medifast, Relationships Are At The Center Of What We Do!
</b></p><p>We thrive by elevating our connections with one another as well as with our Coaches &amp; Clients. We believe that everyone has the potential to be <b><i>OUTSTANDING </i></b>. The Medifast culture is built on seven core values: <b>integrity, courage, teaming, accountability, empowerment, partnership and diversity </b>. These values aren&rsquo;t just words on a page &ndash; they are celebrated as a core part of the company&rsquo;s philosophy.<br>
<br>
</p><p><b>We Lead By&hellip;<br>
</b><br>
</p><p><b>Mastering Relationships: </b>We build trust, promote collaboration and we are reliable.
<br>
<b>Being Innovative: </b>We strive to improve things in our areas of influence; test, refine and expand within the business strategy; and reach beyond real and perceived boundaries.
<br>
<b>Simplifying: </b>We are committed to making things measurable, repeatable and scalable; focusing on outcomes not activities; and eliminating complexity to increase focus.
<br>
<b>Anticipating: </b>We predict long-term business and organizational needs; challenge assumptions; and expect and prepare for the unexpected.<br>
<br>
</p><p></p><p>The salary range for this position is:
</p><p></p>$147,942.95 - $200,158.11
<p></p><p>Medifast (NYSE: MED) is the health and wellness company known for its science-backed, coach-guided lifestyle system. Designed to help address the challenges of metabolic dysfunction, the company&rsquo;s holistic approach integrates personalized plans, scientifically developed products and a framework for habit creation &mdash; all supported by a dedicated network of independent coaches. Driven to improve metabolic health through advanced science and comprehensive behavioral support, Medifast has introduced Metabolic Synchronization&trade;, a breakthrough science that reverses metabolic dysfunction through a targeted reset of the body&rsquo;s metabolism. Research shows the company&rsquo;s comprehensive system activates strong and targeted fat burn to enhance metabolic health and body composition by reducing visceral fat, preserving lean mass and protecting muscle. Backed by more than 40 years of clinical heritage, Medifast continues to advance its mission of Lifelong Transformation, Making Healthy Lifestyle Second Nature&reg;. For more information, visit MedifastInc.com and follow Medifast on X and LinkedIn .</p></div><p></p>

Manager, Data Engineering

Search 10000+ Data engineering manager jobs near you this March. New roles added regularly across leading industries. Apply today.