Premier Employers are industry leaders that have forged exclusive partnerships with Meytier to forward our shared mission to offset bias in hiring, and are only visible to members of the Meytier community.
EXCLUSIVELY ON MEYTIER
You're in luck. This opportunity exclusively available through Meytier.
About Meytier Premier Employers
Premier Employers are industry leaders that have forged exclusive partnerships with Meytier to forward our shared mission to offset bias in hiring, and are only visible to members of the Meytier community.
Seeking a results-oriented and experienced Data Engineer ready to take a leadership role in building and scaling cutting-edge data solutions having a deep understanding of Data Vault architecture, complemented by expertise in Kimball methodologies, and a passion for leveraging modern data technologies
As a senior Lead Data Engineer, you will be a key driver in shaping our next-generation data landscape. You will lead the design, development, and implementation of our enterprise data warehouse and critical data integration pipelines, directly contributing to data-driven decision-making and innovation across Assetmark.
Responsibilities:
Lead design and development of AssetMark enterprise data warehouse, strategically applying both Data Vault and Kimball modeling techniques to meet diverse business needs.
Architect and implement scalable and reliable data integration pipelines, seamlessly ingesting both batch and real-time streaming data into our Data Vault.
Design and build optimized dimensional models (star schemas) derived from the Data Vault, empowering robust reporting and advanced analytics.
Leverage your strong proficiency in Python and Spark to develop efficient and scalable data processing workflows within the Azure ecosystem.
Own the complete lifecycle of data product delivery derived from requirements to design a successful implementation, deployment, and ongoing maintenance for the data product
Collaborate effectively with business analysts, data scientists, and other stakeholders to deeply understand data requirements and translate them into robust technical designs.
Provide technical leadership, mentorship, and guidance to fellow data engineers, fostering a culture of excellence, knowledge sharing, and continuous improvement.
Champion and enforce data quality, data governance, and data security standards throughout the entire data development lifecycle.
Proactively identify, evaluate, and implement automation tools and frameworks to optimize and streamline data engineering processes.
Stay at the forefront of data technology advancements, actively participating in the evaluation and adoption of new tools and methodologies.
Qualifications:
Bachelor’s degree in computer science, Engineering, or a related technical field.
5+ years of progressive experience in data warehousing and data integration.
Ability to work independently, take initiative, and collaborate effectively within a team environment. Demonstrated experience in leading the successful delivery of data products.
Proficiency in Data Vault modeling principles and practical understanding of Kimball dimensional modeling concepts and their application.
Exceptional problem-solving, analytical, and communication skills, with the ability to articulate technical concepts to both technical and non-technical audiences.
Hands-on experience with large-scale data processing and analysis and ability at architecting and implementing data solutions leveraging Azure data services and to design and implement sophisticated data integration solutions for both batch and real-time streaming sources.
Compensation Range: Upto $90 per hour
AssetMark’s culture is driven by our mission and connected by our values; Heart, Integrity, Excellence and Respect. You will join a team that lives these values every day by doing the best and what is right in all we do and encouraging different ideas for continual success and innovation. Additionally, we offer a wide range of benefits to meet the needs of our team members and their families.
Flex Time Off or Paid Time/Sick Time Off
401K – 6% Employer Match
Medical, Dental, Vision – HDHP or PPO
HSA – Employer contribution (HDHP only)
Volunteer Time Off
Career Development / Recognition
Fitness Reimbursement
Hybrid Work Schedule.
As an Equal Opportunity Employer, AssetMark is committed to building a diverse and inclusive workplace where everyone feels valued.
The Meytier team will review it and get back to you.Click here to view.
{"group":"Organization","title":"Lead Data Engineer","skills":"<p>Leverage your strong proficiency in Python and Spark to develop efficient and scalable data processing workflows within the Azure ecosystem.</p><p>Bachelor’s degree in computer science, Engineering, or a related technical field.</p><p>5+ years of progressive experience in data warehousing and data integration.</p><p>Ability to work independently, take initiative, and collaborate effectively within a team environment.</p><p>Demonstrated experience in leading the successful delivery of data products.</p><p>Proficiency in Data Vault modeling principles and practical understanding of Kimball dimensional modeling concepts and their application.</p><p>Exceptional problem-solving, analytical, and communication skills, with the ability to articulate technical concepts to both technical and non-technical audiences.</p><p>Hands-on experience with large-scale data processing and analysis and ability at architecting and implementing data solutions leveraging Azure data services and to design and implement sophisticated data integration solutions for both batch and real-time streaming sources.</p>","zohoId":"","endDate":"2025-10-29T18:30:00.000Z","isDraft":false,"jobType":"Full Time","job_url":"2234-assetmark-lead-data-engineer","agencyId":1,"benefits":"<p class=\"ql-align-justify\">Additionally, we offer a wide range of benefits to meet the needs of our team members and their families.</p><p class=\"ql-align-justify\"><span style=\"color: rgb(34, 34, 34);\">Flex Time Off or Paid Time/Sick Time Off</span></p><p class=\"ql-align-justify\"><span style=\"color: rgb(34, 34, 34);\">401K – 6% Employer Match</span></p><p class=\"ql-align-justify\"><span style=\"color: rgb(34, 34, 34);\">Medical, Dental, Vision – HDHP or PPO</span></p><p class=\"ql-align-justify\"><span style=\"color: rgb(34, 34, 34);\">HSA – Employer contribution (HDHP only)</span></p><p class=\"ql-align-justify\"><span style=\"color: rgb(34, 34, 34);\">Volunteer Time Off</span></p><p class=\"ql-align-justify\"><span style=\"color: rgb(34, 34, 34);\">Career Development / Recognition</span></p><p class=\"ql-align-justify\"><span style=\"color: rgb(34, 34, 34);\">Fitness Reimbursement</span></p>","clientId":"35","location":[{"lat":38.7945952,"lon":-106.5348379,"zip":"","city":"","text":"United States","state":"","country":"United States","is_city":false,"is_state":false,"is_country":true,"state_code":"","countryCode":"US","isLocationSet":true,"isLocationResolved":true}],"eeocFound":true,"maxSalary":"","minSalary":"","questions":[],"startDate":"2025-10-14T18:30:00.000Z","hiringSPOC":"User / Info not available","hiringTags":[],"onBehalfOf":"47","companyName":"Meytier","description":"<p>Seeking a results-oriented and experienced Data Engineer ready to take a leadership role in building and scaling cutting-edge data solutions having a deep understanding of Data Vault architecture, complemented by expertise in Kimball methodologies, and a passion for leveraging modern data technologies</p><p>As a senior Lead Data Engineer, you will be a key driver in shaping our next-generation data landscape. You will lead the design, development, and implementation of our enterprise data warehouse and critical data integration pipelines, directly contributing to data-driven decision-making and innovation across Assetmark.</p><p><br></p><p><strong>Responsibilities:</strong></p><ul><li>Lead design and development of AssetMark enterprise data warehouse, strategically applying both Data Vault and Kimball modeling techniques to meet diverse business needs.</li><li>Architect and implement scalable and reliable data integration pipelines, seamlessly ingesting both batch and real-time streaming data into our Data Vault.</li><li>Design and build optimized dimensional models (star schemas) derived from the Data Vault, empowering robust reporting and advanced analytics.</li><li>Leverage your strong proficiency in Python and Spark to develop efficient and scalable data processing workflows within the Azure ecosystem.</li><li>Own the complete lifecycle of data product delivery derived from requirements to design a successful implementation, deployment, and ongoing maintenance for the data product</li><li>Collaborate effectively with business analysts, data scientists, and other stakeholders to deeply understand data requirements and translate them into robust technical designs.</li><li>Provide technical leadership, mentorship, and guidance to fellow data engineers, fostering a culture of excellence, knowledge sharing, and continuous improvement.</li><li>Champion and enforce data quality, data governance, and data security standards throughout the entire data development lifecycle.</li><li>Proactively identify, evaluate, and implement automation tools and frameworks to optimize and streamline data engineering processes.</li><li>Stay at the forefront of data technology advancements, actively participating in the evaluation and adoption of new tools and methodologies.</li></ul><p><strong>Qualifications:</strong></p><ul><li>Bachelor’s degree in computer science, Engineering, or a related technical field.</li><li>5+ years of progressive experience in data warehousing and data integration.</li><li>Ability to work independently, take initiative, and collaborate effectively within a team environment. Demonstrated experience in leading the successful delivery of data products.</li><li>Proficiency in Data Vault modeling principles and practical understanding of Kimball dimensional modeling concepts and their application.</li><li>Exceptional problem-solving, analytical, and communication skills, with the ability to articulate technical concepts to both technical and non-technical audiences.</li><li>Hands-on experience with large-scale data processing and analysis and ability at architecting and implementing data solutions leveraging Azure data services and to design and implement sophisticated data integration solutions for both batch and real-time streaming sources.</li></ul><p><strong>Compensation Range</strong>: Upto $90 per hour</p><p><br></p><p class=\"ql-align-justify\"><span style=\"color: rgb(34, 34, 34);\">AssetMark’s culture is driven by our mission and connected by our values; Heart, Integrity, Excellence and Respect. You will join a team that lives these values every day by doing the best and what is right in all we do and encouraging different ideas for continual success and innovation. Additionally, we offer a wide range of benefits to meet the needs of our team members and their families.</span></p><p><br></p><p class=\"ql-align-justify\"><span style=\"color: rgb(34, 34, 34);\">Flex Time Off or Paid Time/Sick Time Off</span></p><p class=\"ql-align-justify\"><span style=\"color: rgb(34, 34, 34);\">401K – 6% Employer Match</span></p><p class=\"ql-align-justify\"><span style=\"color: rgb(34, 34, 34);\">Medical, Dental, Vision – HDHP or PPO</span></p><p class=\"ql-align-justify\"><span style=\"color: rgb(34, 34, 34);\">HSA – Employer contribution (HDHP only)</span></p><p class=\"ql-align-justify\"><span style=\"color: rgb(34, 34, 34);\">Volunteer Time Off</span></p><p class=\"ql-align-justify\"><span style=\"color: rgb(34, 34, 34);\">Career Development / Recognition</span></p><p class=\"ql-align-justify\"><span style=\"color: rgb(34, 34, 34);\">Fitness Reimbursement</span></p><p class=\"ql-align-justify\"><span style=\"color: rgb(34, 34, 34);\">Hybrid Work Schedule.</span></p><p class=\"ql-align-justify\"><span style=\"color: rgb(34, 34, 34);\">As an Equal Opportunity Employer, AssetMark is committed to building a diverse and inclusive workplace where everyone feels valued.</span></p>","isHybridJob":true,"isRemoteJob":true,"salaryRange":"<p><strong>Compensation Range</strong>: Upto $90 per hour</p>","titleSkills":[{"keyword":"Data Engineer","node_id":"i10246","removed":false,"node_ptr":[["meytier_root","information technology","systems engineering","software engineering","software development","data management","data engineering"]],"priority":-1,"alignedTF":true,"must_have":false,"node_name":"data engineering","extractedTF":true,"not_a_skill":false,"nice_to_have":false,"nodeAlignedWt":21,"is_industry_term":false,"gender_threshold_yn":"balanced","final_node_fft_weights":{"data management":1},"final_node_skarea_basetype":""}],"otherCohorts":[],"benefitsFound":true,"hiringManager":"User / Info not available","maxExperience":10,"minExperience":5,"type_of_slate":"job","hiringFunction":["information technology"],"isOnPremiseJob":true,"onBehalfOfName":"AssetMark","otherlocations":[],"blindHiringMode":true,"experienceLevel":"Mid / Senior","numberOfOpenings":"1","otherCohortsName":"","otherInformation":"<p><strong>Responsibilities:</strong></p><p><strong>Qualifications:</strong></p><p class=\"ql-align-justify\"><span style=\"color: rgb(34, 34, 34);\">Hybrid Work Schedule.</span></p>","responsibilities":"<p>Lead design and development of AssetMark enterprise data warehouse, strategically applying both Data Vault and Kimball modeling techniques to meet diverse business needs.</p><p>Architect and implement scalable and reliable data integration pipelines, seamlessly ingesting both batch and real-time streaming data into our Data Vault.</p><p>Design and build optimized dimensional models (star schemas) derived from the Data Vault, empowering robust reporting and advanced analytics.</p><p>Own the complete lifecycle of data product delivery derived from requirements to design a successful implementation, deployment, and ongoing maintenance for the data product</p><p>Collaborate effectively with business analysts, data scientists, and other stakeholders to deeply understand data requirements and translate them into robust technical designs.</p><p>Provide technical leadership, mentorship, and guidance to fellow data engineers, fostering a culture of excellence, knowledge sharing, and continuous improvement.</p><p>Champion and enforce data quality, data governance, and data security standards throughout the entire data development lifecycle.</p><p>Proactively identify, evaluate, and implement automation tools and frameworks to optimize and streamline data engineering processes.</p><p>Stay at the forefront of data technology advancements, actively participating in the evaluation and adoption of new tools and methodologies.</p>","extractedSkillIds":["i10246"],"maxSeniorityLevel":6,"minSeniorityLevel":3,"otherJobReference":"","sharpenedJobTitle":"Lead Data Engineer","job_category_group":"10","growthOppurtunities":[],"educationQualification":"Baccalaureate Degree","skillSenNormalizedTitle":"5__2__i10246","extractSkillsFromHereToo":true,"normalizedTitleSkillsObj":{"normalizeTitle":"Lead Data Engineer","allAlignedSkills":{"i10246":19},"detected_keywords":[{"keyword":"Data Engineer","node_id":"i10246","node_ptr":[["meytier_root","information technology","systems engineering","software engineering","software development","data management","data engineering"]],"end_index":17,"node_name":"data engineering","is_license":false,"node_trunk":"systems engineering","node_ptr_wt":"3.11","parent_node":"data management","start_index":5,"is_role_node":false,"ptr_to_trunk":[["systems engineering","software engineering","software development","data management","data engineering"]],"skill_in_use":true,"skill_source":"IMPOSED","source_table":"imposed","detected_term":"Data Engineer","is_trunk_node":false,"ecosystem_type":[],"expanded_terms":{"ptr":[["systems engineering","software engineering","software development","data management","data engineering"]],"child":["data integration","data preparation","data quality","data acquisition","data compression","data engineering - certifications","spark"]},"level_from_root":6,"neighbor_scores":{"data storage":0.45,"customer data":0.45,"data modeling":0.45,"data discovery":0.45,"data migration":0.45,"data automation":0.45,"data governance":0.45,"data management":0.6,"data engineering":1,"data architecture":0.45,"stream processing":0.45,"metadata management":0.45,"software development":0.4,"etl & data warehousing":0.45,"master data management":0.45,"transaction processing":0.45,"object relational mapping":0.45},"node_trunk_type":"information technology","ecosystem_values":[],"gender_ss_skills":{"norm_counts":{"6":157,"13":220,"X":219},"counts_gt_threshold_yn":true,"gender_ssk_gt_threshold_yn":"balanced"},"input_text_index":0,"is_certification":false,"is_industry_term":false,"node_display_name":"data engineering","avg_dist_from_leaf":2,"final_node_basetype":["IT AREA"],"gender_title_skills":{"norm_counts":{"6":12,"13":15,"X":21},"counts_gt_threshold_yn":true,"gender_tsfs_gt_threshold_yn":"balanced"},"is_org_function_term":false,"levelsum_count_ratio":7,"is_base_title_keyword":true,"neighbor_scores_by_id":{},"final_node_fft_weights":{"data management":1},"is_artificial_pseudonode":false,"final_node_skarea_basetype":"","is_executive_title_keyword":false,"skill_norm_name_kp_get_or_ext":"ext"}],"extractedSkillIds":["i10246"],"maxSeniorityLevel":5,"detectedIndustries":{},"detectedOrgFunctions":{},"normalized_field_name":"title","detectedCertifications":{},"sortedAlignedSkillsObj":{"i10246":{"value":3.62,"node_ptr":[["meytier_root","information technology","systems engineering","software engineering","software development","data management","data engineering"]],"node_name":"data engineering","final_node_fft_weights":{"data management":1}}},"skillSenNormalizedTitle":"5__2__i10246","diversityMappedDescriptionSkillsByTitleFiltered":[]},"companyTeamJobIntroduction":"<p>Seeking a results-oriented and experienced Data Engineer ready to take a leadership role in building and scaling cutting-edge data solutions having a deep understanding of Data Vault architecture, complemented by expertise in Kimball methodologies, and a passion for leveraging modern data technologies</p><p>As a senior Lead Data Engineer, you will be a key driver in shaping our next-generation data landscape.</p><p>You will lead the design, development, and implementation of our enterprise data warehouse and critical data integration pipelines, directly contributing to data-driven decision-making and innovation across Assetmark.</p><p class=\"ql-align-justify\">AssetMark’s culture is driven by our mission and connected by our values; Heart, Integrity, Excellence and Respect.</p><p class=\"ql-align-justify\">You will join a team that lives these values every day by doing the best and what is right in all we do and encouraging different ideas for continual success and innovation.</p>","normalized_title_object_new":{"in_use":true,"skills":["data engineering"],"industry":["ALL INDUSTRIES"],"root_role":"data engineer","is_root_role":false,"matched_with":"lead data engineer","department_team":"software development","normalized_title":"lead data engineer","reason_for_match":"BTM","frequently_found_skills":[],"inormalized_titles_master_new":"33","match_inside_length_threshold":true,"normalized_title_display_name":"Lead Data Engineer"},"dNIEEOCTextFocusOtherControl":"<p class=\"ql-align-justify\"><span style=\"color: rgb(34, 34, 34);\">As an Equal Opportunity Employer, AssetMark is committed to building a diverse and inclusive workplace where everyone feels valued.</span></p>","expertise_coreskill_or_product":["data engineering"],"displayJobDescriptionSimpleForm":true,"expertise_coreskill_or_product_id":["i10246"],"job_id":"2234"}