Lead Data Engineer

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    "heading": "Lead Data Engineer",
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    "description_html": "<div class=\"job_description\">\n\t\t\t\t\t<p style=\"line-height:1.38;margin-top:16px;margin-bottom:16px;\"><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:700;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">About Xanadu:</span></span></span></span></span></span></p><p style=\"line-height:1.38;margin-top:16px;margin-bottom:16px;\"><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Xanadu&#8217;s mission is to build quantum computers that are useful and available to people everywhere.</span></span></span></span></span></span></p><p style=\"line-height:1.38;margin-top:16px;margin-bottom:16px;\"><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">At Xanadu, we are learners, innovators, researchers, collaborators and problem solvers. We are creating something that has never been built before.&#160; What we are doing is extremely hard, the classic moon shot. Few people in their life will be able to be a part of something like this, where if we are successful, the technologies we develop will solve some of the world&#8217;s most challenging problems and literally change the world. And that is something to be excited about!</span></span></span></span></span></span></p><p style=\"line-height:1.38;margin-top:16px;margin-bottom:16px;\"><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:700;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Your role and responsibilities:</span></span></span></span></span></span></p><p style=\"line-height:1.38;margin-top:16px;margin-bottom:16px;\"><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">As a Lead Data Engineer, you will take Xanadu&#8217;s existing data pipelines and transform them into a cohesive data platform. Working alongside hardware researchers, data scientists, and finance analysts, you'll define how data flows across the organization and build the infrastructure that enables data-driven decisions at every level. This is a hands-on technical role first &#8212; you will be the first dedicated data engineer, with the opportunity to build a data team around you.</span></span></span></span></span></span></p><ul><li style=\"list-style-type:disc;\"><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Lead technical design and delivery of data pipelines spanning R&amp;D, manufacturing, and business analytics</span></span></span></span></span></span></li><li style=\"list-style-type:disc;\"><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Build and scale robust cloud data infrastructure (ingestion, transformation, serving)</span></span></span></span></span></span></li><li style=\"list-style-type:disc;\"><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Define data models in collaboration with researchers and analysts to ensure scientific and business data is stored correctly and queryable</span></span></span></span></span></span></li><li style=\"list-style-type:disc;\"><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Establish data governance foundations: lineage, cataloging, access control, and quality monitoring</span></span></span></span></span></span></li><li style=\"list-style-type:disc;\"><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Drive best practices across code quality, testing, data reliability, and observability</span></span></span></span></span></span></li><li style=\"list-style-type:disc;\"><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Balance new development, platform improvements, and technical debt reduction</span></span></span></span></span></span></li><li style=\"list-style-type:disc;\"><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Leverage AI-assisted tooling to accelerate engineering productivity</span></span></span></span></span></span></li><li style=\"list-style-type:disc;\"><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Mentor and provide technical guidance to engineers across the organization as the practice grows</span></span></span></span></span></span></li></ul><p style=\"line-height:1.38;margin-top:16px;margin-bottom:16px;\"><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:700;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Basic qualifications and experience:</span></span></span></span></span></span></p><ul><li style=\"list-style-type:disc;\"><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">7+ years in data engineering, with 2+ years in a lead or architect capacity</span></span></span></span></span></span></li><li style=\"list-style-type:disc;\"><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Deep experience building and scaling data platforms in the cloud (e.g., Databricks, Snowflake)</span></span></span></span></span></span></li><li style=\"list-style-type:disc;\"><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Production experience designing and operating data lake or lakehouse architectures (Delta Lake, Iceberg, or Hudi)</span></span></span></span></span></span></li><li style=\"list-style-type:disc;\"><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Expertise in distributed systems and data integrity at scale</span></span></span></span></span></span></li><li style=\"list-style-type:disc;\"><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Hands-on experience with modern data stack tooling (dbt, Fivetran, or similar) and orchestration (Airflow, Dagster, Prefect)</span></span></span></span></span></span></li><li style=\"list-style-type:disc;\"><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Strong SQL and Python skills</span></span></span></span></span></span></li><li style=\"list-style-type:disc;\"><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Knowledge of infrastructure-as-code and CI/CD for data pipelines</span></span></span></span></span></span></li><li style=\"list-style-type:disc;\"><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Proven ability to drive technical standards and engineering improvements across teams</span></span></span></span></span></span></li><li style=\"list-style-type:disc;\"><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Experience working with cross-functional teams &#8212; especially R&amp;D or science teams producing unstructured or semi-structured data</span></span></span></span></span></span></li></ul><p style=\"line-height:1.38;margin-top:16px;margin-bottom:16px;\"><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:700;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Preferred qualifications and experience:</span></span></span></span></span></span></p><ul><li style=\"list-style-type:disc;\"><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Experience in a deep-tech, hardware, or semiconductor environment where data originates from physical measurement systems</span></span></span></span></span></span></li><li style=\"list-style-type:disc;\"><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Familiarity with time-series or scientific data formats (HDF5, Parquet for measurement traces, etc.)</span></span></span></span></span></span></li><li style=\"list-style-type:disc;\"><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Prior experience as the \"first data engineer\" &#8212; building a practice from scratch, not inheriting one</span></span></span></span></span></span></li><li style=\"list-style-type:disc;\"><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Familiarity with LIMS systems or laboratory data workflows</span></span></span></span></span></span></li></ul><p style=\"line-height:1.656;background-color:#ffffff;margin-top:16px;margin-bottom:16px;\"><span style=\"font-size:10.5pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"background-color:#ffffff;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">This is for a new position. Your base salary will be determined based on your location, experience, and internal benchmarks. You will also be eligible for equity and benefits.</span></span></span></span></span></span></span></p><p> </p>\n\n<p><span style=\"font-size:12px\"><span style=\"font-family:Arial,Helvetica,sans-serif\">Our values are important. They are fundamental and lay the foundation for culture at Xanadu. Learn more about our values <a href=\"https://www.xanadu.ai/values\">here</a>.</span></span></p>\n\n<p><span style=\"font-size:12px\"><span style=\"font-family:Arial,Helvetica,sans-serif\">We are an equal opportunity employer and encourage candidates of all backgrounds to apply. We are committed to building an inclusive, safe, and equitable culture and fostering an environment where our employees feel included, valued, and heard. We are committed to meeting the needs of all individuals and support a barrier-free workplace. Should you require accommodations at any point during the recruitment process please contact Recruiting at <a href=\"/cdn-cgi/l/email-protection#a2d0c7c1d0d7cbd6cbccc58481949699dac3ccc3c6d78cc3cb\">recruiting&#64;xanadu.ai</a>. </span></span></p>\n\n<p><span style=\"font-size:12px\"><span style=\"font-family:Arial,Helvetica,sans-serif\">Please be advised that we may use artificial intelligence (AI) tools to assist in the screening and assessment of applicants for this position. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</span></span></p>",
    "description_text": "About Xanadu:\n Xanadu’s mission is to build quantum computers that are useful and available to people everywhere.\n At Xanadu, we are learners, innovators, researchers, collaborators and problem solvers. We are creating something that has never been built before.  What we are doing is extremely hard, the classic moon shot. Few people in their life will be able to be a part of something like this, where if we are successful, the technologies we develop will solve some of the world’s most challenging problems and literally change the world. And that is something to be excited about!\n Your role and responsibilities:\n As a Lead Data Engineer, you will take Xanadu’s existing data pipelines and transform them into a cohesive data platform. Working alongside hardware researchers, data scientists, and finance analysts, you'll define how data flows across the organization and build the infrastructure that enables data-driven decisions at every level. This is a hands-on technical role first — you will be the first dedicated data engineer, with the opportunity to build a data team around you.\n Lead technical design and delivery of data pipelines spanning R&D, manufacturing, and business analytics\n Build and scale robust cloud data infrastructure (ingestion, transformation, serving)\n Define data models in collaboration with researchers and analysts to ensure scientific and business data is stored correctly and queryable\n Establish data governance foundations: lineage, cataloging, access control, and quality monitoring\n Drive best practices across code quality, testing, data reliability, and observability\n Balance new development, platform improvements, and technical debt reduction\n Leverage AI-assisted tooling to accelerate engineering productivity\n Mentor and provide technical guidance to engineers across the organization as the practice grows\n Basic qualifications and experience:\n 7+ years in data engineering, with 2+ years in a lead or architect capacity\n Deep experience building and scaling data platforms in the cloud (e.g., Databricks, Snowflake)\n Production experience designing and operating data lake or lakehouse architectures (Delta Lake, Iceberg, or Hudi)\n Expertise in distributed systems and data integrity at scale\n Hands-on experience with modern data stack tooling (dbt, Fivetran, or similar) and orchestration (Airflow, Dagster, Prefect)\n Strong SQL and Python skills\n Knowledge of infrastructure-as-code and CI/CD for data pipelines\n Proven ability to drive technical standards and engineering improvements across teams\n Experience working with cross-functional teams — especially R&D or science teams producing unstructured or semi-structured data\n Preferred qualifications and experience:\n Experience in a deep-tech, hardware, or semiconductor environment where data originates from physical measurement systems\n Familiarity with time-series or scientific data formats (HDF5, Parquet for measurement traces, etc.)\n Prior experience as the \"first data engineer\" — building a practice from scratch, not inheriting one\n Familiarity with LIMS systems or laboratory data workflows\n This is for a new position. Your base salary will be determined based on your location, experience, and internal benchmarks. You will also be eligible for equity and benefits.\n Our values are important. They are fundamental and lay the foundation for culture at Xanadu. Learn more about our values here .\n We are an equal opportunity employer and encourage candidates of all backgrounds to apply. We are committed to building an inclusive, safe, and equitable culture and fostering an environment where our employees feel included, valued, and heard. We are committed to meeting the needs of all individuals and support a barrier-free workplace. Should you require accommodations at any point during the recruitment process please contact Recruiting at [email protected] .\n Please be advised that we may use artificial intelligence (AI) tools to assist in the screening and assessment of applicants for this position. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.",
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