{"id":1503838,"url":"https://alion.io/job/hike2-senior-mdm-engineer","title":"Senior MDM Engineer","company":{"id":1965057,"name":"Hike2","domain":"hike2.com","url":"https://alion.io/company/hike2","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Recruitee","truth_index":null},"role":"Enterprise Apps","role_family":"Enterprise Apps","seniority":"senior","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":[],"countries":[],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":125000,"max":null,"currency":"USD","period":"year","gross":null,"usd_annual":125000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":".NET","optional":false},{"name":"Azure","optional":false},{"name":"Azure Cosmos DB","optional":false},{"name":"Collibra","optional":false},{"name":"Informatica","optional":false},{"name":"Java","optional":false},{"name":"Master Data Management","optional":false},{"name":"Neo4j","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Tokenization","optional":false},{"name":"C#","optional":true},{"name":"Databricks","optional":true},{"name":"Snowflake","optional":true}],"status":"live","first_seen_at":"2026-09-03T12:59:44Z","employer_posted_date":"2026-09-03","last_verified_at":"2026-10-01T10:18:57Z","board_verified":true,"closed_at":null,"days_open":28,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":28},"description":"Who We Are\nHIKE2 is an advisory and innovation partner helping organizations design and build what’s next.\nWe work with complex and regulated industries, including law firms, financial services, insurance, professional services, and high-growth SaaS companies, to modernize operating models and embed data, automation, and AI into the core of how work gets done.\nOur clients aren’t just upgrading technology. They are rethinking workflows, activating governed AI, and designing environments where humans and intelligent systems work side by side.\nWe believe meaningful transformation happens when strategy, data, design, and engineering move together. Siloed initiatives don’t scale. Real progress requires clarity of vision, strong data foundations, responsible governance, and disciplined execution.\nOur teams bring deep industry expertise, human-centered design, and advanced data and cloud capabilities to architect secure, scalable solutions built for real-world complexity. From modern data platforms to AI-enabled workflows and enterprise automation, we help organizations move from experimentation to measurable impact.\nWe thrive in change and move from blank slate to working systems. We care deeply about outcomes, trust, and building long-term partnerships.\nWe don’t just implement technology. We help design the future of work.\nThe Role\nHIKE2 is hiring a senior Master Data Management Engineer for its data and integration practice. You will architect and build resolved identity and relationship foundations for financial services clients.\nOwn the end-to-end MDM and relationship-graph architecture on an engagement, from data modeling through integration, data quality, and governance.\n\nDesign and configure match and merge logic, survivorship and trust rules, validation rules, and golden-record management.\n\nBuild entity resolution, the golden record, and the graph, along with the pipelines that feed them and syndicate trusted master data back to consuming systems.\n\nEstablish the data-quality baseline and the survivorship and stewardship operating model, including steward workflows and issue queues.\n\nDefine the identity seam between the client identity platform and the MDM layer, turning an authenticated claim into a resolved party.\n\nSet engineering standards, document a repeatable delivery approach, and mentor and grow a small team.\n\nCollaborate with data governance, CRM and source-system owners, and business stakeholders, and translate complex MDM concepts for both technical and non-technical audiences.\n\nRequirements\nThe following is the depth we expect. A strong candidate is hands-on across most of these areas, not familiar with them in theory.\nIdentity resolution and matching\nDesign and implement deterministic and probabilistic match logic, configuring match rules, thresholds, and trust scoring, and tuning them over time to balance false merges against missed matches.\n\nWeight strong identifiers such as tax ID and date of birth above shared attributes like name and address, and handle nicknames, transliteration, and address standardization.\n\nBuild and maintain crosswalks between each source system's local key and the canonical party identifier.\n\nGolden record and survivorship\nDesign golden, or best, record construction with attribute-level survivorship and trust rules that define which source wins per attribute and why, with full lineage.\n\nImplement merge, unmerge, split handling, and manage record consolidation safely in production.\n\nEstablish validation rules and the golden-record lifecycle: create, update, retire.\n\nParty and relationship data modeling\nModel the party domain across person, legal entity, household, and account, with relationships, hierarchies, crosswalks, and reference data.\n\nDesign the relationship graph ontology: households, beneficial ownership (UBO) chains, advisor-to-client, entity-to-account, collateral, and exposure, with effective dating so relationships are time-valid.\n\nDefine measurable data-quality metrics and the minimum required attributes for each domain.\n\nData quality and stewardship\nBuild automated data profiling and a measured baseline for completeness, accuracy, consistency, and duplication.\n\nImplement data-quality rules, validation logic, and exception handling, and design steward workflows, issue queues, and dashboards that make stewardship efficient.\n\nPartner with governance to define master data policies, standards, and the stewardship operating model, and maintain data dictionaries per domain.\n\nIntegration and pipelines\nDesign inbound and outbound integration patterns to ingest source data and syndicate trusted master data back to operational, analytical, and reporting systems.\n\nBuild ingestion and integration jobs, implement change data capture, and stand-up real-time resolve-and-lookup services with acceptable latency.\n\nConsume an authenticated claim from the identity platform and translate it to a resolved party identifier through the orchestration and integration layer.\n\nCloud data platform\nBuild on a modern cloud data stack, Azure preferred, using the medallion or lakehouse pattern across bronze, silver, and gold.\n\nManage multiple environments (development, test, QA, production) with performance tuning, monitoring, and cost awareness.\n\nGraph engineering\nImplement the relationship graph on a property-graph store (Neo4j with Cypher, or Cosmos DB with Gremlin), keyed strictly on the canonical party identifier.\n\nBuild graph queries and traversals for multi-hop questions such as UBO chains and advisor-to-borrower authorization, returning explainable, evidenced assertions with effective dates.\n\nProgramming and platforms\nStrong SQL and proficiency in Python, with Java or .Net as needed to extend MDM platforms and build services.\n\nHands-on with at least one enterprise MDM platform (Informatica MDM, Reltio, Semarchy, Ataccama, or Profisee) and the judgment to weigh build-lite on the existing stack against a packaged product.\n\nComfortable with data governance and quality tool (for example Ab Initio or Collibra) and with workflow tooling.\n\nSecurity, governance, and regulatory\nBuild for audit and regulatory review: full lineage, decision logs, and traceable survivorship.\n\nApply KYC, AML, and beneficial ownership requirements under the Bank Secrecy Act and USA PATRIOT Act, and handle PII, tokenization, and access controls appropriately.\n\nDesired ExperienceTen to fifteen years in enterprise data engineering and architecture, with master data management delivered in production, not just designed.\n\nDemonstrated ability to both architect and build, having designed the system and then implemented it, not a design-only background.\n\nFinancial services required, private and commercial banking strongly preferred, where a client is at once a person, an entity, a household member, and a borrower, and where party is a regulated, first-class concept.\n\nProven physical MDM design with a party model, and experience resolving duplicated or unresolved entities upstream in identity.\n\nFamiliarity with enterprise identity platforms, including Ping, and how digital identity binds to data identity.\n\nExperience building for audit in a regulated industry, having survived a real audit or examination.\n\nAI-assisted MDM: intelligent match scoring, automated survivorship suggestions, and anomaly flagging, kept governed, auditable, and validated before promotion to master.\n\nExperience with the systems common to banking estates: core banking (for example Fiserv), CRM (for example Salesforce), loan origination and servicing (for example Broadridge), and client due diligence (for example Fenergo).\n\nA track record of mentoring or leading a small engineering team, and consulting or client-facing delivery experience.\n\nExposure to externalized authorization or relationship-based access control, where the graph supplies context and a decision point applies policy.\n\nCertifications\nCertifications are preferred, not mandatory. We value demonstrated, hands-on delivery above any credential, and a candidate certified on one platform who can clearly reason across others is stronger than one certification alone. A current certification in one or more of the following is a plus.\nMDM platforms\nInformatica: Professional or Practitioner certification in MDM, MDM SaaS or Cloud, or Informatica Data Quality (IDQ), and related Intelligent Data Management Cloud (IDMC) credentials.\n\nReltio Certified Professional, for the Reltio Connected Data Platform.\n\nSemarchy xDM certification (Discovery or Practitioner).\n\nAtaccama ONE certification.\n\nProfisee certification, particularly for teams on the Microsoft and Azure stack.\n\nCloud, data platform, and graph\nMicrosoft Azure: Azure Data Engineer Associate (DP-203) or Azure Solutions Architect Expert, given our Azure-preferred stack.\n\nDatabricks or Snowflake certification where the client stacks calls for it.\n\nNeo4j Certified Professional, or an equivalent graph credential, for the relationship graph work.\n\nGovernance and adjacent\nData governance or quality credentials such as Collibra Ranger, or the DAMA CDMP (Certified Data Management Professional).\n\nA recognized cloud security or privacy certification is a plus given the regulated setting.\n\nThe salary range for this position is: $125,000-$175,000+k/annually. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. This range is exclusive of any bonuses or commissions. HIKE2 offers a wide range of benefits for full time employees which may include medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more.\nDon’t meet every requirement?\nAs an innovation consultancy, we recognize that talent is not always related to job history and skills come from valuable experiences that aren’t always shown on a resume. If you are excited to make a positive impact, but your experience doesn’t align perfectly, we encourage you to apply. You may be the right candidate for our organization, whether it be this role or another.\nAccommodation Statement\nWe are committed to providing reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs throughout the hiring process. If you require an accommodation to complete the application or participate in the interview process, please let us know.\nBGC Notice\nEmployment may be contingent upon successful completion of a background check, conducted in compliance with applicable federal, state, and local laws.\nFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At HIKE2, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.\nUS Citizenship\nDue to the nature of our client work, all applicants must reside in the U.S. and hold US Citizenship to be considered for employment. Hike2 cannot sponsor work authorizations or visas now or in the future.\n EEO Statement\nWe are an equal opportunity employer and are committed to creating an inclusive environment for all employees and applicants. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, national origin, age, disability, genetic information, protected veteran status, mari...","description_format":"text","description_chars":12262,"description_truncated":true,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["401k plan"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Professional Services","Enterprise Apps Implementation Partners"],"lifecycle":[{"event":"open","at":"2026-09-30T04:54:34Z"}],"liveness":{"score":9,"band":"cold","label":"Long shot","p_open":1,"p_active":0.269,"p_room":0.35,"age_days":27,"expected_fill_days":7,"reasons":["conf:24","win:tail"],"computed_at":"2026-10-01T05:45:00Z"},"pay":{"stated_usd_annual":125000,"is_top_pay":true},"html_url":"https://alion.io/job/hike2-senior-mdm-engineer","json_url":"https://alion.io/job/hike2-senior-mdm-engineer.json","meta":{"generated_at":"2026-10-01T20:01:42Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":2743,"day_limit":5000,"remaining_today":2257,"minute_limit":60,"resets_at":"2026-10-02T00:00:00Z"}}}