Data Engineer Lead
Job Location:
San Antonio, TX - USA
Monthly Salary:
Posted:
Application Deadline:
Vacancies:
Job Summary
Job Family:
Data Science & Analysis
Travel Required:
Clearance Required:
What You Will Do:
Guidehouse is seeking a Data Engineer Lead to lead the design development and modernization of enterprise data platforms analytics ecosystems and cloud-native data solutions. This role serves as the technical leader for data engineering initiatives providing architecture guidance mentoring engineering teams and driving the implementation of scalable secure and high-performing data solutions that support mission-critical business and analytical needs.
Lead the design development and deployment of modern data platforms pipelines and analytics solutions across cloud and hybrid environments.
Define technical architecture engineering standards and best practices for data integration storage processing and governance.
Architect and oversee the implementation of scalable ETL/ELT workflows data lakehouses and enterprise data platforms.
Lead data modernization and migration initiatives including cloud adoption platform transformation and legacy system replacement efforts.
Provide technical leadership and mentorship to data engineers fostering engineering excellence and professional development.
Collaborate with solution architects data scientists business analysts and client stakeholders to define technical strategies and implementation roadmaps.
Design and optimize data models data warehouses and large-scale analytical environments to support reporting operational analytics and advanced analytics use cases.
Establish and enforce data quality observability security reliability and operational support processes.
Lead the adoption of DevSecOps and CI/CD practices to automate deployments and improve platform reliability.
Oversee performance tuning troubleshooting and optimization of data platforms and processing workloads.
Conduct technical reviews architecture assessments and code reviews to ensure delivery quality and adherence to best practices.
Support proposal development solutioning technical estimations and business development activities.
Serve as a trusted technical advisor to project leadership and client stakeholders.
Role is contingent upon contract award
What You Will Need:
U.S. Citizenship or Green Card is required and Must be able to OBTAIN and MAINTAIN a Federal or DHS PUBLIC TRUST.
Bachelors degree in Computer Science Information Systems Engineering Mathematics Data Science or a related technical field.
SEVEN (7) or more years of experience in data engineering software engineering analytics engineering or related technical disciplines.
Experience leading technical teams and complex data engineering initiatives.
Experience with Python SQL Spark/PySpark and modern data engineering frameworks.
Experience designing developing and optimizing large-scale data pipelines and ETL/ELT solutions.
Experience architecting enterprise data platforms data lakes data warehouses and cloud-native data solutions.
Significant hands-on experience with AWS Azure or multi-cloud environments.
Experience with Databricks Snowflake or similar distributed data processing platforms.
Experience implementing and managing CI/CD pipelines infrastructure automation and DevOps practices.
Experience with containerization and orchestration technologies including Docker and Kubernetes.
What Would Be Nice To Have:
Experience supporting federal health public health healthcare life sciences or other highly regulated environments.
Strong understanding of data governance metadata management data quality and data security principles.
Experience leading Agile development teams and collaborating across cross-functional technical organizations.
Strong analytical problem-solving and architectural decision-making skills.
Demonstrated ability to communicate technical concepts to both technical and non-technical audiences.
Experience developing technical documentation architecture artifacts and engineering standards.
Experience designing and implementing Databricks Lakehouse Delta Lake Fabric Snowflake or similar modern analytics architectures.
Experience with event-driven and real-time data architectures using Kafka Event Hub Kinesis or similar technologies.
Experience implementing Infrastructure as Code using Terraform CloudFormation Bicep or ARM templates.
Experience with data observability and monitoring platforms such as Splunk Datadog CloudWatch Kibana or Elasticsearch.
Experience supporting AI/ML platforms and operationalizing machine learning workflows.
AWS Azure Databricks Snowflake or Kubernetes certifications.
Experience leading large-scale data modernization or digital transformation programs.
Previous consulting experience with responsibility for client-facing technical leadership.
Experience contributing to business development activities technical proposals and solution architecture.
What We Offer:
Guidehouse offers a comprehensive total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.
Benefits include:
Medical Rx Dental & Vision Insurance
Personal and Family Sick Time & Company Paid Holidays
Parental Leave
401(k) Retirement Plan
Group Term Life and Travel Assistance
Voluntary Life and AD&D Insurance
Health Savings Account Health Care & Dependent Care Flexible Spending Accounts
Transit and Parking Commuter Benefits
Short-Term & Long-Term Disability
Tuition Reimbursement Personal Development Certifications & Learning Opportunities
Employee Referral Program
Corporate Sponsored Events & Community Outreach
annual membership
Employee Assistance Program
Supplemental Benefits via Corestream (Critical Care Hospital Indemnity Accident Insurance Legal Assistance and ID theft protection etc.)
Position may be eligible for a discretionary variable incentive bonus
About Guidehouse
Guidehouse is an Equal Opportunity EmployerProtected Veterans Individuals with Disabilities or any other basis protected by law ordinance or regulation.
Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.
If you have visited our website for information about employment opportunities or to apply for a position and you require an accommodation please contact Guidehouse Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.
All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @ or . Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.
If any person or organization demands money related to a job opportunity with Guidehouse please report the matter to Guidehouses Ethics Hotline. If you want to check the validity of correspondence you have received please contact . Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicants dealings with unauthorized third parties.
Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.
Required Experience:
IC
About Company
Guidehouse is the only scaled advisory consultancy in the world to fully integrate commercial and public or government businesses within each of our industry segments because complex problems require both perspectives to address and outwit.
